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ORCIDMaxim Likhachev
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- affiliation: CMU, Robotics Institute, Pittsburgh, PA, USA
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2020 – today
- 2024
[c179]Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. ICAPS 2024: 523-531- [c178]Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev:
Improving Learnt Local MAPF Policies with Heuristic Search. ICAPS 2024: 597-606 - [c177]Qian Wang, Rishi Veerapaneni, Yu Wu, Jiaoyang Li, Maxim Likhachev:
MAPF in 3D Warehouses: Dataset and Analysis. ICAPS 2024: 623-632 - [c176]Itamar Mishani, Hayden Feddock, Maxim Likhachev:
Constant-time Motion Planning with Anytime Refinement for Manipulation. ICRA 2024: 10337-10343 - [c175]Dhruv Mauria Saxena, Maxim Likhachev:
Improved M4M: Faster and Richer Planning for Manipulation Among Movable Objects in Cluttered 3D Workspaces. ICRA 2024: 10902-10909 - [c174]Ramkumar Natarajan, Hanlan Yang, Qintong Xie, Yash Oza, Manash Pratim Das, Fahad Islam, Muhammad Suhail Saleem, Howie Choset, Maxim Likhachev:
Preprocessing-based Kinodynamic Motion Planning Framework for Intercepting Projectiles using a Robot Manipulator. ICRA 2024: 10910-10916 - [c173]Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li:
Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality. SOCS 2024: 109-117 - [c172]Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev:
A Data Efficient Framework for Learning Local Heuristics. SOCS 2024: 223-227 - [c171]Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev:
From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS (Extended Abstract). SOCS 2024: 293-294 - [i54]Ramkumar Natarajan, Hanlan Yang, Qintong Xie, Yash Oza, Manash Pratim Das, Fahad Islam, Muhammad Suhail Saleem, Howie Choset, Maxim Likhachev:
Preprocessing-based Kinodynamic Motion Planning Framework for Intercepting Projectiles using a Robot Manipulator. CoRR abs/2401.08022 (2024) - [i53]Ramkumar Natarajan, Shohin Mukherjee, Howie Choset, Maxim Likhachev:
PINSAT: Parallelized Interleaving of Graph Search and Trajectory Optimization for Kinodynamic Motion Planning. CoRR abs/2401.08948 (2024) - [i52]Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev:
Improving Learnt Local MAPF Policies with Heuristic Search. CoRR abs/2403.20300 (2024) - [i51]Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. CoRR abs/2404.00143 (2024) - [i50]Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev:
A Data Efficient Framework for Learning Local Heuristics. CoRR abs/2404.06728 (2024) - [i49]Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev:
From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS. CoRR abs/2404.15137 (2024) - [i48]Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li:
Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality. CoRR abs/2405.01772 (2024) - [i47]Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev:
A preprocessing-based planning framework for utilizing contacts in high-precision insertion tasks. CoRR abs/2406.05522 (2024) - [i46]Rishi Veerapaneni, Arthur Jakobsson, Kevin Ren, Samuel Kim, Jiaoyang Li, Maxim Likhachev:
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF. CoRR abs/2409.14491 (2024) - [i45]Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev:
A POMDP-based hierarchical planning framework for manipulation under pose uncertainty. CoRR abs/2409.18775 (2024) - [i44]Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev:
Windowed MAPF with Completeness Guarantees. CoRR abs/2410.01798 (2024) - [i43]Yorai Shaoul, Itamar Mishani, Shivam Vats, Jiaoyang Li, Maxim Likhachev:
Multi-Robot Motion Planning with Diffusion Models. CoRR abs/2410.03072 (2024) - 2023
- [j32]Muhammad Suhail Saleem
, Rishi Veerapaneni, Maxim Likhachev:
Preprocessing-Based Planning for Utilizing Contacts in Semi-Structured High-Precision Insertion Tasks. IEEE Robotics Autom. Lett. 8(11): 6947-6954 (2023) - [c170]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS. AAAI 2023: 11691-11698 - [c169]Mohammad Bakhshalipour, Mohamad Qadri, Dominic Guri, Seyed Borna Ehsani, Maxim Likhachev, Phillip B. Gibbons:
Runahead A*: Speculative Parallelism for A* with Slow Expansions. ICAPS 2023: 31-41 - [c168]Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev:
Learning Local Heuristics for Search-Based Navigation Planning. ICAPS 2023: 634-638 - [c167]Dhruv Saxena, Maxim Likhachev:
Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How. ICAPS 2023: 668-676 - [c166]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficient Recovery Learning using Model Predictive Meta-Reasoning. ICRA 2023: 7258-7264 - [c165]Ellis Ratner, Claire J. Tomlin, Maxim Likhachev:
Operating with Inaccurate Models by Integrating Control-Level Discrepancy Information into Planning. ICRA 2023: 7823-7829 - [c164]Dhruv Mauria Saxena, Maxim Likhachev:
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation. ICRA 2023: 8141-8147 - [c163]Ramkumar Natarajan, Garrison L. H. Johnston, Nabil Simaan, Maxim Likhachev, Howie Choset:
Torque-Limited Manipulation Planning through Contact by Interleaving Graph Search and Trajectory Optimization. ICRA 2023: 8148-8154 - [c162]Shohin Mukherjee, Maxim Likhachev:
GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations. SOCS 2023: 153-157 - [c161]Hanlan Yang, Shohin Mukherjee, Maxim Likhachev:
A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations. SOCS 2023: 163-167 - [i42]Shohin Mukherjee, Maxim Likhachev:
GePA*SE: Generalized Edge-Based Parallel A* for Slow Evaluations. CoRR abs/2301.10347 (2023) - [i41]Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev:
Learning Local Heuristics for Search-Based Navigation Planning. CoRR abs/2303.09477 (2023) - [i40]Dhruv Mauria Saxena, Maxim Likhachev:
Planning for Complex Non-prehensile Manipulation Among Movable Objects by Interleaving Multi-Agent Pathfinding and Physics-Based Simulation. CoRR abs/2303.13352 (2023) - [i39]Dhruv Saxena, Maxim Likhachev:
Planning for Manipulation among Movable Objects: Deciding Which Objects Go Where, in What Order, and How. CoRR abs/2303.13385 (2023) - [i38]Hanlan Yang, Shohin Mukherjee, Maxim Likhachev:
A-ePA*SE: Anytime Edge-Based Parallel A* for Slow Evaluations. CoRR abs/2305.04408 (2023) - [i37]Itamar Mishani, Hayden Feddock, Maxim Likhachev:
Constant-time Motion Planning with Anytime Refinement for Manipulation. CoRR abs/2311.00837 (2023) - 2022
- [j31]Chad C. Kessens, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2(1): 1232-1262 (2022) - [j30]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Multi-Objective Path-Based D* Lite. IEEE Robotics Autom. Lett. 7(2): 3318-3325 (2022) - [j29]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
MPLP: Massively Parallelized Lazy Planning. IEEE Robotics Autom. Lett. 7(3): 6067-6074 (2022) - [j28]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Multi-Objective Safe-Interval Path Planning With Dynamic Obstacles. IEEE Robotics Autom. Lett. 7(3): 8154-8161 (2022) - [c160]Aidan Wagner, Rishi Veerapaneni, Maxim Likhachev:
Minimizing Coordination in Multi-Agent Path Finding with Dynamic Execution. AIIDE 2022: 61-69 - [c159]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-processing of Grid-Based Paths. ICAPS 2022: 321-328 - [c158]Tushar Kusnur, Maxim Likhachev:
Complete, Decomposition-Free Coverage Path Planning. CASE 2022: 1431-1437 - [c157]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. ICRA 2022: 2789-2795 - [c156]Dhruv Mauria Saxena, Tushar Kusnur, Maxim Likhachev:
AMRA*: Anytime Multi-Resolution Multi-Heuristic A. ICRA 2022: 3371-3377 - [c155]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. ICRA 2022: 5792-5798 - [c154]Mohammad Bakhshalipour, Seyed Borna Ehsani, Mohamad Qadri, Dominic Guri, Maxim Likhachev, Phillip B. Gibbons:
RACOD: algorithm/hardware co-design for mobile robot path planning. ISCA 2022: 597-609 - [c153]Mohammad Bakhshalipour, Maxim Likhachev, Phillip B. Gibbons:
RTRBench: A Benchmark Suite for Real-Time Robotics. ISPASS 2022: 175-186 - [c152]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. L4DC 2022: 47-58 - [c151]Manash Pratim Das, Damon M. Conover, Sungmin Eum, Heesung Kwon, Maxim Likhachev:
MA3: Model-Accuracy Aware Anytime Planning with Simulation Verification for Navigating Complex Terrains. SOCS 2022: 65-73 - [c150]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
ePA*SE: Edge-Based Parallel A* for Slow Evaluations. SOCS 2022: 136-144 - [c149]Zhongqiang Ren, Richard Zhan, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Enhanced Multi-Objective A* Using Balanced Binary Search Trees. SOCS 2022: 162-170 - [c148]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS (Extended Abstract). SOCS 2022: 326-328 - [i36]Zhongqiang Ren, Sivakumar Rathinam, Maxim Likhachev, Howie Choset:
Enhanced Multi-Objective A* Using Balanced Binary Search Trees. CoRR abs/2202.08992 (2022) - [i35]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
ePA*SE: Edge-based Parallel A* for Slow Evaluations. CoRR abs/2203.01369 (2022) - [i34]Shivam Vats, Oliver Kroemer, Maxim Likhachev:
Synergistic Scheduling of Learning and Allocation of Tasks in Human-Robot Teams. CoRR abs/2203.07478 (2022) - [i33]Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev:
Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS. CoRR abs/2205.11624 (2022) - [i32]Rishi Veerapaneni, Maxim Likhachev:
Non-Blocking Batch A* (Technical Report). CoRR abs/2208.07031 (2022) - [i31]Shivam Vats, Maxim Likhachev, Oliver Kroemer:
Efficiently Learning Recoveries from Failures Under Partial Observability. CoRR abs/2209.13605 (2022) - [i30]Ramkumar Natarajan, Garrison L. H. Johnston, Nabil Simaan, Maxim Likhachev, Howie Choset:
Torque-Limited Manipulation Planning through Contact by Interleaving Graph Search and Trajectory Optimization. CoRR abs/2210.08627 (2022) - 2021
- [j27]Aditya Agarwal, Yash Oza, Maxim Likhachev, Chad C. Kessens:
Fast and High-Quality, GPU-based, Deliberative, Object-Pose Estimation. Field Robotics 1(1): 34-69 (2021) - [j26]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably constant-time planning and replanning for real-time grasping objects off a conveyor belt. Int. J. Robotics Res. 40(12-14): 1370-1384 (2021) - [j25]Ramkumar Natarajan, Howie Choset, Maxim Likhachev:
Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight. IEEE Robotics Autom. Lett. 6(3): 5357-5364 (2021) - [j24]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [c147]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. AAAI 2021: 6147-6155 - [c146]Jasmeet Kaur, Ishani Chatterjee, Maxim Likhachev:
Speeding Up Search-Based Motion Planning using Expansion Delay Heuristics. ICAPS 2021: 528-532 - [c145]Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev:
Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks. ICRA 2021: 15-21 - [c144]Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox:
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. ICRA 2021: 6534-6540 - [c143]Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. ICRA 2021: 6570-6576 - [c142]Paritosh Kelkar, Parth Chopra, Savio Pereira, Dan DeLano, Aaron Miller, Kyungzun Rim, Samer Rajab, Jonathan Butzke, Maxim Likhachev:
Affordable Autonomy through Cooperative Sensing and Planning. ICRA 2021: 9022-9028 - [c141]Sandip Aine, Yash Oza, Maxim Likhachev:
Disruption-Limited Planning for Robot Navigation in Dynamic Environments. IROS 2021: 377-383 - [c140]Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models. IROS 2021: 5717-5724 - [c139]Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso:
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS 2021: 7953-7960 - [c138]Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev:
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives. IROS 2021: 8301-8308 - [c137]Ishani Chatterjee, Tushar Kusnur, Maxim Likhachev:
Fast Bounded Suboptimal Probabilistic Planning with Clear Preferences on Missing Information. SOCS 2021: 37-45 - [i29]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably Constant-time Planning and Replanning for Real-time Grasping Objects off a Conveyor Belt. CoRR abs/2101.07148 (2021) - [i28]Ramkumar Natarajan, Howie Choset, Maxim Likhachev:
Interleaving Graph Search and Trajectory Optimization for Aggressive Quadrotor Flight. CoRR abs/2101.12548 (2021) - [i27]Dhruv Mauria Saxena, Muhammad Suhail Saleem, Maxim Likhachev:
Manipulation Planning Among Movable Obstacles Using Physics-Based Adaptive Motion Primitives. CoRR abs/2102.04324 (2021) - [i26]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i25]Guru Koushik Senthil Kumar, Sandip Aine, Maxim Likhachev:
Euclidean Distance-Optimal Post-Processing of Grid-Based Paths. CoRR abs/2105.03833 (2021) - [i24]Manash Pratim Das, Anirudh Vemula, Mayank Pathak, Sandip Aine, Maxim Likhachev:
Learning Optimal Decision Making for an Industrial Truck Unloading Robot using Minimal Simulator Runs. CoRR abs/2105.05019 (2021) - [i23]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i22]Shohin Mukherjee, Sandip Aine, Maxim Likhachev:
MPLP: Massively Parallelized Lazy Planning. CoRR abs/2107.02826 (2021) - [i21]Muhammad Suhail Saleem, Raghav Sood, Sho Onodera, Rohit Arora, Hiroyuki Kanazawa, Maxim Likhachev:
Search-based Path Planning for a High Dimensional Manipulator in Cluttered Environments Using Optimization-based Primitives. CoRR abs/2107.02829 (2021) - [i20]Nader Maray, Anirudh Vemula, Maxim Likhachev:
Improved Soft Duplicate Detection in Search-Based Motion Planning. CoRR abs/2109.12427 (2021) - [i19]Dhruv Mauria Saxena, Tushar Kusnur, Maxim Likhachev:
AMRA*: Anytime Multi-Resolution Multi-Heuristic A. CoRR abs/2110.05328 (2021) - [i18]Anirudh Vemula, Wen Sun, Maxim Likhachev, J. Andrew Bagnell:
On the Effectiveness of Iterative Learning Control. CoRR abs/2111.09434 (2021) - 2020
- [j23]Vinitha Ranganeni, Sahit Chintalapudi, Oren Salzman, Maxim Likhachev:
Effective footstep planning using homotopy-class guidance. Artif. Intell. 286: 103346 (2020) - [j22]Dina Youakim, Patryk Cieslak, Andrew Dornbush, Albert Palomer, Pere Ridao, Maxim Likhachev:
Multirepresentation, Multiheuristic A* search-based motion planning for a free-floating underwater vehicle-manipulator system in unknown environment. J. Field Robotics 37(6): 925-950 (2020) - [c136]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211 - [c135]Aaron Miller, Kyungzun Rim, Parth Chopra, Paritosh Kelkar, Maxim Likhachev:
Cooperative Perception and Localization for Cooperative Driving. ICRA 2020: 1256-1262 - [c134]Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. ICRA 2020: 5011-5017 - [c133]Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev:
Driving in Dense Traffic with Model-Free Reinforcement Learning. ICRA 2020: 5385-5392 - [c132]Muhammad Suhail Saleem, Maxim Likhachev:
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects. ICRA 2020: 6752-6758 - [c131]Raghav Sood, Shivam Vats, Maxim Likhachev:
Learning to Use Adaptive Motion Primitives in Search-Based Planning for Navigation. IROS 2020: 6923-6929 - [c130]Aditya Agarwal, Yupeng Han, Maxim Likhachev:
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. IROS 2020: 10633-10640 - [c129]Fahad Islam, Oren Salzman, Aditya Agarwal, Maxim Likhachev:
Provably Constant-time Planning and Re-planning for Real-time Grasping Objects off a Conveyor Belt. Robotics: Science and Systems 2020 - [c128]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. Robotics: Science and Systems 2020 - [c127]Wei Du, Fahad Islam, Maxim Likhachev:
Multi-Resolution A. SOCS 2020: 29-37 - [i17]Anirudh Vemula, Yash Oza, J. Andrew Bagnell, Maxim Likhachev:
Planning and Execution using Inaccurate Models with Provable Guarantees. CoRR abs/2003.04394 (2020) - [i16]Muhammad Suhail Saleem, Maxim Likhachev:
Planning with Selective Physics-based Simulation for Manipulation Among Movable Objects. CoRR abs/2003.06743 (2020) - [i15]Fahad Islam, Oren Salzman, Aditya Agraval, Maxim Likhachev:
Provably Constant-Time Planning and Re-planning for Real-time Grasping Objects off a Conveyor. CoRR abs/2003.08517 (2020) - [i14]Wei Du, Fahad Islam, Maxim Likhachev:
Multi-Resolution A. CoRR abs/2004.06684 (2020) - [i13]Aditya Agarwal, Yupeng Han, Maxim Likhachev:
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation. CoRR abs/2008.00326 (2020) - [i12]Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. CoRR abs/2009.09942 (2020) - [i11]Tushar Kusnur, Dhruv Mauria Saxena, Maxim Likhachev:
Search-based Planning for Active Sensing in Goal-Directed Coverage Tasks. CoRR abs/2011.07383 (2020) - [i10]Shohin Mukherjee, Chris Paxton, Arsalan Mousavian, Adam Fishman, Maxim Likhachev, Dieter Fox:
Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery. CoRR abs/2011.08694 (2020) - [i9]Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox:
Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments. CoRR abs/2012.14970 (2020)
2010 – 2019
- 2019
- [c126]Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso:
Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS 2019: 674-679 - [c125]Fahad Islam, Oren Salzman, Maxim Likhachev:
Provable Indefinite-Horizon Real-Time Planning for Repetitive Tasks. ICAPS 2019: 716-724 - [c124]Sung-Kyun Kim, Oren Salzman, Maxim Likhachev:
POMHDP: Search-Based Belief Space Planning Using Multiple Heuristics. ICAPS 2019: 734-744 - [c123]Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev:
A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction. FSR 2019: 459-474 - [c122]Wei Du, Sung-Kyun Kim, Oren Salzman, Maxim Likhachev:
Escaping Local Minima in Search-Based Planning using Soft Duplicate Detection. IROS 2019: 2365-2371 - [c121]Allen Cheng, Dhruv Mauria Saxena, Maxim Likhachev:
Bidirectional Heuristic Search for Motion Planning with an Extend Operator. IROS 2019: 7425-7430 - [c120]Kalyan Vasudev Alwala, Margarita Safonova, Oren Salzman, Maxim Likhachev:
Intuitive, Reliable Plans with Contingencies: Planning with Safety Nets for Landmark-Based Routing. SOCS 2019: 2-9 - [c119]Ramkumar Natarajan, Muhammad Suhail Saleem, Sandip Aine, Maxim Likhachev, Howie Choset:
A-MHA*: Anytime Multi-Heuristic A. SOCS 2019: 192-193 - [i8]Fahad Islam, Oren Salzman, Maxim Likhachev:
Provable Infinite-Horizon Real-Time Planning for Repetitive Tasks. CoRR abs/1901.07698 (2019) - [i7]Tushar Kusnur, Shohin Mukherjee, Dhruv Mauria Saxena, Tomoya Fukami, Takayuki Koyama, Oren Salzman, Maxim Likhachev:
A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction. CoRR abs/1908.09236 (2019) - [i6]Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, Maxim Likhachev:
Driving in Dense Traffic with Model-Free Reinforcement Learning. CoRR abs/1909.06710 (2019) - [i5]Fahad Islam, Anirudh Vemula, Sung-Kyun Kim, Andrew Dornbush, Oren Salzman, Maxim Likhachev:
Planning, Learning and Reasoning Framework for Robot Truck Unloading. CoRR abs/1910.09453 (2019) - 2018
- [c118]Vinitha Ranganeni, Oren Salzman, Maxim Likhachev:
Effective Footstep Planning for Humanoids Using Homotopy-Class Guidance. ICAPS 2018: 500-508 - [c117]Andrew Dornbush, Karthik Vijayakumar, Sameer Bardapurkar, Fahad Islam, Masayuki Ito, Maxim Likhachev:
A Single-Planner Approach to Multi-Modal Humanoid Mobility. ICRA 2018: 1-9 - [c116]Fahad Islam, Oren Salzman, Maxim Likhachev:
Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning. IJCAI 2018: 4921-4928 - [c115]Dina Youakim, Andrew Dornbush, Maxim Likhachev, Pere Ridao:
Motion Planning for an Underwater Mobile Manipulator by Exploiting Loose Coupling. IROS 2018: 7164-7171 - [c114]Piero Micelli, Maxim Likhachev:
FOCS: Planning by Fusion of Optimal Control & Search and its Application to Navigation. IROS 2018: 8082-8088 - [i4]Andrew Dornbush, Karthik Vijayakumar, Sameer Bardapurkar, Fahad Islam, Maxim Likhachev:
A Single-Planner Approach to Multi-Modal Humanoid Mobility. CoRR abs/1801.10225 (2018) - 2017
- [j21]James Keller, Dinesh Thakur, Maxim Likhachev, Jean Gallier, Vijay Kumar:
Coordinated Path Planning for Fixed-Wing UAS Conducting Persistent Surveillance Missions. IEEE Trans Autom. Sci. Eng. 14(1): 17-24 (2017) - [c113]John Drake, Alla Safonova, Maxim Likhachev:
Towards Adaptability of Demonstration-Based Training of NPC Behavior. AIIDE 2017: 179-185 - [c112]Venkatraman Narayanan, Maxim Likhachev:
Heuristic Search on Graphs with Existence Priors for Expensive-to-Evaluate Edges. ICAPS 2017: 522-530 - [c111]Shivam Vats, Venkatraman Narayanan, Maxim Likhachev:
Learning to Avoid Local Minima in Planning for Static Environments. ICAPS 2017: 572-576 - [c110]Venkatraman Narayanan, Maxim Likhachev:
Deliberative object pose estimation in clutter. ICRA 2017: 3125-3130 - [c109]Sung-Kyun Kim, Maxim Likhachev:
Parts assembly planning under uncertainty with simulation-aided physical reasoning. ICRA 2017: 4074-4081 - [c108]Ishani Chatterjee, Maxim Likhachev, Manuela M. Veloso:
Search Reduction through Conservative Abstract-Space Based Heuristic. SOCS 2017: 161-162 - [i3]Fahad Islam, Oren Salzman, Maxim Likhachev:
Online, interactive user guidance for high-dimensional, constrained motion planning. CoRR abs/1710.03873 (2017) - [i2]Vinitha Ranganeni, Oren Salzman, Maxim Likhachev:
Effective Footstep Planning for Humanoids Using Homotopy-Class Guidance. CoRR abs/1712.00531 (2017) - 2016
- [j20]Sandip Aine, Maxim Likhachev:
Truncated incremental search. Artif. Intell. 234: 49-77 (2016) - [j19]Ron Alterovitz, Sven Koenig, Maxim Likhachev:
Robot Planning in the Real World: Research Challenges and Opportunities. AI Mag. 37(2): 76-84 (2016) - [j18]Mike Phillips, Victor Hwang, Sachin Chitta, Maxim Likhachev:
Learning to plan for constrained manipulation from demonstrations. Auton. Robots 40(1): 109-124 (2016) - [j17]Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likhachev:
Multi-Heuristic A. Int. J. Robotics Res. 35(1-3): 224-243 (2016) - [c107]John Drake, Alla Safonova, Maxim Likhachev:
Demonstration-Based Training of Non-Player Character Tactical Behaviors. AIIDE 2016: 30-36 - [c106]Sandip Aine, Maxim Likhachev:
Search Portfolio with Sharing. ICAPS 2016: 11-19 - [c105]Jonathan Butzke, Kalin Gochev, Benjamin Holden, Eui-Jung Jung, Maxim Likhachev:
Planning for a ground-air robotic system with collaborative localization. ICRA 2016: 284-291 - [c104]Fahad Islam, Venkatraman Narayanan, Maxim Likhachev:
A*-Connect: Bounded suboptimal bidirectional heuristic search. ICRA 2016: 2752-2758 - [c103]Sung-Kyun Kim, Maxim Likhachev:
Planning for grasp selection of partially occluded objects. ICRA 2016: 3971-3978 - [c102]Venkatraman Narayanan, Maxim Likhachev:
PERCH: Perception via search for multi-object recognition and localization. ICRA 2016: 5052-5059 - [c101]Venkatraman Narayanan, Maxim Likhachev:
Discriminatively-guided Deliberative Perception for Pose Estimation of Multiple 3D Object Instances. Robotics: Science and Systems 2016 - 2015
- [j16]Lydia E. Kavraki, Maxim Likhachev:
Editorial: special issue on the 2014 "Robotics: Science & Systems" conference. Auton. Robots 39(3): 219-220 (2015) - [j15]Anthony Stentz, Herman Herman, Alonzo Kelly, Eric Meyhofer, G. Clark Haynes, David Stager, Brian Zajac, J. Andrew Bagnell, Jordan Brindza, Christopher M. Dellin, Michael David George, Jose Gonzalez-Mora, Sean Hyde, Morgan Jones, Michel Laverne, Maxim Likhachev, Levi Lister, Matthew Powers, Oscar E. Ramos, Justin Ray, David Rice, Justin Scheifflee, Raumi Sidki, Siddhartha S. Srinivasa, Kyle Strabala, Jean-Philippe Tardif, Jean-Sebastien Valois, Michael Vande Weghe, Michael Wagner, Carl Wellington:
CHIMP, the CMU Highly Intelligent Mobile Platform. J. Field Robotics 32(2): 209-228 (2015) - [c100]Mike Phillips, Maxim Likhachev:
Speeding up heuristic computation in planning with Experience Graphs. ICRA 2015: 893-899 - [c99]Victor Hwang, Mike Phillips, Siddhartha S. Srinivasa, Maxim Likhachev:
Lazy validation of Experience Graphs. ICRA 2015: 912-919 - [c98]Fahad Islam, Venkatraman Narayanan, Maxim Likhachev:
Dynamic Multi-Heuristic A*. ICRA 2015: 2376-2382 - [c97]Venkatraman Narayanan, Maxim Likhachev:
Task-oriented planning for manipulating articulated mechanisms under model uncertainty. ICRA 2015: 3095-3101 - [c96]Siddharth Swaminathan, Mike Phillips, Maxim Likhachev:
Planning for multi-agent teams with leader switching. ICRA 2015: 5403-5410 - [c95]Ellis Ratner, Benjamin J. Cohen, Mike Phillips, Maxim Likhachev:
A web-based infrastructure for recording user demonstrations of mobile manipulation tasks. ICRA 2015: 5523-5530 - [c94]Mike Phillips, Venkatraman Narayanan, Sandip Aine, Maxim Likhachev:
Efficient Search with an Ensemble of Heuristics. IJCAI 2015: 784-791 - [c93]Jonathan Butzke, Andrew Dornbush, Maxim Likhachev:
3-D exploration with an air-ground robotic system. IROS 2015: 3241-3248 - [c92]Soonkyum Kim, Maxim Likhachev:
Path planning for a tethered robot using Multi-Heuristic A* with topology-based heuristics. IROS 2015: 4656-4663 - [c91]Venkatraman Narayanan, Sandip Aine, Maxim Likhachev:
Improved Multi-Heuristic A* for Searching with Uncalibrated Heuristics. SOCS 2015: 78-86 - [c90]Sandip Aine, Charupriya Sharma, Maxim Likhachev:
Learning to Search More Efficiently from Experience: A Multi-Heuristic Approach. SOCS 2015: 141-145 - [c89]Benjamin J. Cohen, Mike Phillips, Maxim Likhachev:
Planning Single-Arm Manipulations with N-Arm Robots. SOCS 2015: 226-227 - [c88]James Keller, Dinesh Thakur, Maxim Likhachev, Jean Gallier, Vijay Kumar:
Coordinated path planning for fixed-wing UAS conducting persistent surveillance missions. SSRR 2015: 1-6 - [i1]Venkatraman Narayanan, Maxim Likhachev:
PERCH: Perception via Search for Multi-Object Recognition and Localization. CoRR abs/1510.05613 (2015) - 2014
- [j14]Daniel Borrajo, Ariel Felner, Richard E. Korf, Maxim Likhachev, Carlos Linares López, Wheeler Ruml, Nathan R. Sturtevant:
The Fifth Annual Symposium on Combinatorial Search. AI Commun. 27(4): 327-328 (2014) - [j13]Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
Single- and dual-arm motion planning with heuristic search. Int. J. Robotics Res. 33(2): 305-320 (2014) - [c87]Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
Single- and Dual-Arm Motion Planning with Heuristic Search. ICAPS 2014 - [c86]Mike Phillips, Maxim Likhachev, Sven Koenig:
PA*SE: Parallel A* for Slow Expansions. ICAPS 2014 - [c85]John Drake, Maxim Likhachev, Alla Safonova:
Prioritized Computation for Numerical Sound Propagation. DAFx 2014: 13-18 - [c84]Arjun Menon, Benjamin J. Cohen, Maxim Likhachev:
Motion planning for smooth pickup of moving objects. ICRA 2014: 453-460 - [c83]Kalin Gochev, Venkatraman Narayanan, Benjamin J. Cohen, Alla Safonova, Maxim Likhachev:
Motion planning for robotic manipulators with independent wrist joints. ICRA 2014: 461-468 - [c82]Jonathan Butzke, Krishna Sapkota, Kush Prasad, Brian MacAllister, Maxim Likhachev:
State lattice with controllers: Augmenting lattice-based path planning with controller-based motion primitives. IROS 2014: 258-265 - [c81]Sung-Kyun Kim, Joonhee Jo, Yonghwan Oh, Sang-Rok Oh, Siddhartha S. Srinivasa, Maxim Likhachev:
Robotic handwriting: Multi-contact manipulation based on Reactional Internal Contact Hypothesis. IROS 2014: 877-884 - [c80]Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likhachev:
Multi-Heuristic A. Robotics: Science and Systems 2014 - [c79]Benjamin J. Cohen, Mike Phillips, Maxim Likhachev:
Planning Single-arm Manipulations with n-Arm Robots. Robotics: Science and Systems 2014 - [c78]Aline Normoyle, Maxim Likhachev, Alla Safonova:
Stochastic activity authoring with direct user control. I3D 2014: 31-38 - [c77]Kalin Gochev, Alla Safonova, Maxim Likhachev:
Anytime Tree-Restoring Weighted A* Graph Search. SOCS 2014: 80-88 - [c76]Sandip Aine, Siddharth Swaminathan, Venkatraman Narayanan, Victor Hwang, Maxim Likhachev:
Multi-Heuristic A. SOCS 2014: 207-208 - 2013
- [c75]Sandip Aine, Maxim Likhachev:
Truncated Incremental Search: Faster Replanning by Exploiting Suboptimality. AAAI 2013: 16-24 - [c74]Kalin Gochev, Alla Safonova, Maxim Likhachev:
Incremental Planning with Adaptive Dimensionality. ICAPS 2013 - [c73]Bradford Neuman, Maxim Likhachev:
Planning with approximate preferences and its application to disambiguating human intentions in navigation. ICRA 2013: 415-422 - [c72]Venkatraman Narayanan, Paul Vernaza, Maxim Likhachev, Steven M. LaValle:
Planning under topological constraints using beam-graphs. ICRA 2013: 431-437 - [c71]Mike Phillips, Andrew Dornbush, Sachin Chitta, Maxim Likhachev:
Anytime incremental planning with E-Graphs. ICRA 2013: 2444-2451 - [c70]Steven Gray, Sachin Chitta, Vijay Kumar, Maxim Likhachev:
A single planner for a composite task of approaching, opening and navigating through non-spring and spring-loaded doors. ICRA 2013: 3839-3846 - [c69]Brian MacAllister, Jonathan Butzke, Aleksandr Kushleyev, Harsh Pandey, Maxim Likhachev:
Path planning for non-circular micro aerial vehicles in constrained environments. ICRA 2013: 3933-3940 - [c68]Anthony Cowley, Benjamin J. Cohen, William Marshall, Camillo J. Taylor, Maxim Likhachev:
Perception and motion planning for pick-and-place of dynamic objects. IROS 2013: 816-823 - [c67]Dinesh Thakur, Maxim Likhachev, James Keller, Vijay Kumar, Vladimir N. Dobrokhodov, Kevin D. Jones, Jeff Wurz, Isaac Kaminer:
Planning for opportunistic surveillance with multiple robots. IROS 2013: 5750-5757 - [c66]Mike Phillips, Victor Hwang, Sachin Chitta, Maxim Likhachev:
Learning to Plan for Constrained Manipulation from Demonstrations. Robotics: Science and Systems 2013 - [c65]Sandip Aine, Maxim Likhachev:
Anytime Truncated D* : Anytime Replanning with Truncation. SOCS 2013: 2-10 - 2012
- [j12]Daniel Borrajo, Maxim Likhachev, Carlos Linares López:
The Symposium on Combinatorial Search. AI Commun. 25(3): 209-210 (2012) - [j11]Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar:
Topological constraints in search-based robot path planning. Auton. Robots 33(3): 273-290 (2012) - [j10]Jonathan Butzke, Kostas Daniilidis, Aleksandr Kushleyev, Daniel D. Lee, Maxim Likhachev, Cody J. Phillips, Mike Phillips:
The University of Pennsylvania MAGIC 2010 multi-robot unmanned vehicle system. J. Field Robotics 29(5): 745-761 (2012) - [c64]Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar:
Search-Based Path Planning with Homotopy Class Constraints in 3D. AAAI 2012: 2097-2099 - [c63]Nathan R. Sturtevant, Ariel Felner, Maxim Likhachev, Wheeler Ruml:
Heuristic Search Comes of Age. AAAI 2012: 2186-2191 - [c62]Aline Normoyle, John Drake, Maxim Likhachev, Alla Safonova:
Game-Based Data Capture for Player Metrics. AIIDE 2012 - [c61]Armin Hornung, Andrew Dornbush, Maxim Likhachev, Maren Bennewitz:
Anytime search-based footstep planning with suboptimality bounds. Humanoids 2012: 674-679 - [c60]Armin Hornung, Mike Phillips, Edward Gil Jones, Maren Bennewitz, Maxim Likhachev, Sachin Chitta:
Navigation in three-dimensional cluttered environments for mobile manipulation. ICRA 2012: 423-429 - [c59]Kalin Gochev, Alla Safonova, Maxim Likhachev:
Planning with adaptive dimensionality for mobile manipulation. ICRA 2012: 2944-2951 - [c58]Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
Search-based planning for dual-arm manipulation with upright orientation constraints. ICRA 2012: 3784-3790 - [c57]Juan Pablo Gonzalez, Andrew Dornbush, Maxim Likhachev:
Using state dominance for path planning in dynamic environments with moving obstacles. ICRA 2012: 4009-4015 - [c56]Haojie Zhang, Jonathan Butzke, Maxim Likhachev:
Combining global and local planning with guarantees on completeness. ICRA 2012: 4500-4506 - [c55]Venkatraman Narayanan, Mike Phillips, Maxim Likhachev:
Anytime Safe Interval Path Planning for dynamic environments. IROS 2012: 4708-4715 - [c54]Michael Phillips, Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
E-Graphs: Bootstrapping Planning with Experience Graphs. Robotics: Science and Systems 2012 - [c53]Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev:
Efficiently finding optimal winding-constrained loops in the plane. Robotics: Science and Systems 2012 - [c52]Mike Phillips, Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
E-Graphs: Bootstrapping Planning with Experience Graphs. SOCS 2012: 188-189 - [c51]Paul Vernaza, Venkatraman Narayanan, Maxim Likhachev:
Efficiently Finding Optimal Winding-Constrained Loops in the Plane: Extended Abstract. SOCS 2012: 201-202 - [e2]Daniel Borrajo, Ariel Felner, Richard E. Korf, Maxim Likhachev, Carlos Linares López, Wheeler Ruml, Nathan R. Sturtevant:
Proceedings of the Fifth Annual Symposium on Combinatorial Search, SOCS 2012, Niagara Falls, Ontario, Canada, July 19-21, 2012. AAAI Press 2012 [contents] - 2011
- [c50]Mike Phillips, Maxim Likhachev:
Planning in Domains with Cost Function Dependent Actions. AAAI 2011: 74-80 - [c49]Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Shi:
Multi-hypothesis motion planning for visual object tracking. ICCV 2011: 619-626 - [c48]Benjamin J. Cohen, Gokul Subramania, Sachin Chitta, Maxim Likhachev:
Planning for Manipulation with Adaptive Motion Primitives. ICRA 2011: 5478-5485 - [c47]Mike Phillips, Maxim Likhachev:
SIPP: Safe interval path planning for dynamic environments. ICRA 2011: 5628-5635 - [c46]Jonathan Scholz, Sachin Chitta, Bhaskara Marthi, Maxim Likhachev:
Cart pushing with a mobile manipulation system: Towards navigation with moveable objects. ICRA 2011: 6115-6120 - [c45]Aleksandr Kushleyev, Brian MacAllister, Maxim Likhachev:
Planning for landing site selection in the aerial supply delivery. IROS 2011: 1146-1153 - [c44]Jonathan Butzke, Maxim Likhachev:
Planning for multi-robot exploration with multiple objective utility functions. IROS 2011: 3254-3259 - [c43]Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar:
Identification and Representation of Homotopy Classes of Trajectories for Search-based Path Planning in 3D. Robotics: Science and Systems 2011 - [c42]Kalin Gochev, Benjamin J. Cohen, Jonathan Butzke, Alla Safonova, Maxim Likhachev:
Path Planning with Adaptive Dimensionality. SOCS 2011: 52-59 - [c41]Juan Pablo Gonzalez, Maxim Likhachev:
Search-Based Planning with Provable Suboptimality Bounds for Continuous State Spaces. SOCS 2011: 60-67 - [c40]Aleksandr Kushleyev, Brian MacAllister, Maxim Likhachev:
Planning for Landing Site Selection in the Aerial Supply Delivery. SOCS 2011: 199-200 - [c39]Mike Phillips, Maxim Likhachev:
Planning in Domains with Cost Function Dependent Actions. SOCS 2011: 203-204 - [e1]Daniel Borrajo, Maxim Likhachev, Carlos Linares López:
Proceedings of the Fourth Annual Symposium on Combinatorial Search, SOCS 2011, Castell de Cardona, Barcelona, Spain, July 15.16, 2011. AAAI Press 2011 [contents] - 2010
- [c38]Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kumar:
Multi-agent path planning with multiple tasks and distance constraints. ICRA 2010: 953-959 - [c37]Sachin Chitta, Benjamin J. Cohen, Maxim Likhachev:
Planning for autonomous door opening with a mobile manipulator. ICRA 2010: 1799-1806 - [c36]Joseph T. Kider Jr., Mark Henderson, Maxim Likhachev, Alla Safonova:
High-dimensional planning on the GPU. ICRA 2010: 2515-2522 - [c35]Benjamin J. Cohen, Sachin Chitta, Maxim Likhachev:
Search-based planning for manipulation with motion primitives. ICRA 2010: 2902-2908 - [c34]Subhrajit Bhattacharya, Vijay Kumar, Maxim Likhachev:
Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning. Robotics: Science and Systems 2010 - [c33]Subhrajit Bhattacharya, Vijay Kumar, Maxim Likhachev:
Search-Based Path Planning with Homotopy Class Constraints. SOCS 2010: 145-146
2000 – 2009
- 2009
- [j9]Maxim Likhachev, Anthony Stentz:
Probabilistic planning with clear preferences on missing information. Artif. Intell. 173(5-6): 696-721 (2009) - [j8]Maxim Likhachev, Dave Ferguson:
Planning Long Dynamically Feasible Maneuvers for Autonomous Vehicles. Int. J. Robotics Res. 28(8): 933-945 (2009) - [j7]Maxim Likhachev, Anthony Stentz:
Path Clearance. IEEE Robotics Autom. Mag. 16(2): 62-72 (2009) - [c32]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous Driving in Urban Environments: Boss and the Urban Challenge. The DARPA Urban Challenge 2009: 1-59 - [c31]Dave Ferguson, Thomas M. Howard, Maxim Likhachev:
Motion Planning in Urban Environments. The DARPA Urban Challenge 2009: 61-89 - [c30]Aleksandr Kushleyev, Maxim Likhachev:
Time-bounded lattice for efficient planning in dynamic environments. ICRA 2009: 1662-1668 - [c29]Paul Vernaza, Maxim Likhachev, Subhrajit Bhattacharya, Sachin Chitta, Aleksandr Kushleyev, Daniel D. Lee:
Search-based planning for a legged robot over rough terrain. ICRA 2009: 2380-2387 - [c28]Alex Nash, Sven Koenig, Maxim Likhachev:
Incremental Phi*: Incremental Any-Angle Path Planning on Grids. IJCAI 2009: 1824-1830 - [c27]Jennifer E. King, Maxim Likhachev:
Efficient cost computation in cost map planning for non-circular robots. IROS 2009: 3924-3930 - 2008
- [j6]Maxim Likhachev, Dave Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun:
Anytime search in dynamic graphs. Artif. Intell. 172(14): 1613-1643 (2008) - [j5]Chris Urmson, Joshua Anhalt, Drew Bagnell, Christopher R. Baker, Robert Bittner, M. N. Clark, John M. Dolan, Dave Duggins, Tugrul Galatali, Christopher Geyer, Michele Gittleman, Sam Harbaugh, Martial Hebert, Thomas M. Howard, Sascha Kolski, Alonzo Kelly, Maxim Likhachev, Matthew McNaughton, Nick Miller, Kevin M. Peterson, Brian Pilnick, Raj Rajkumar, Paul E. Rybski, Bryan Salesky, Young-Woo Seo, Sanjiv Singh, Jarrod M. Snider, Anthony Stentz, William Whittaker, Ziv Wolkowicki, Jason Ziglar, Hong Bae, Thomas Brown, Daniel Demitrish, Bakhtiar Litkouhi, Jim Nickolaou, Varsha Sadekar, Wende Zhang, Joshua Struble, Michael Taylor, Michael Darms, Dave Ferguson:
Autonomous driving in urban environments: Boss and the Urban Challenge. J. Field Robotics 25(8): 425-466 (2008) - [j4]Dave Ferguson, Thomas M. Howard, Maxim Likhachev:
Motion planning in urban environments. J. Field Robotics 25(11-12): 939-960 (2008) - [c26]Maxim Likhachev, Anthony Stentz:
R* Search. AAAI 2008: 344-350 - [c25]Maxim Likhachev, Anthony Stentz:
Information value-driven approach to path clearance with multiple scout robots. ICRA 2008: 2651-2656 - [c24]Dave Ferguson, Thomas M. Howard, Maxim Likhachev:
Motion planning in urban environments: Part I. IROS 2008: 1063-1069 - [c23]Dave Ferguson, Thomas M. Howard, Maxim Likhachev:
Motion planning in urban environments: Part II. IROS 2008: 1070-1076 - [c22]Maxim Likhachev, Dave Ferguson:
Planning Long Dynamically-Feasible Maneuvers For Autonomous Vehicles. Robotics: Science and Systems 2008 - 2007
- [c21]Sven Koenig, Maxim Likhachev, Xiaoxun Sun:
Speeding up moving-target search. AAMAS 2007: 188 - [c20]Maxim Likhachev, Anthony Stentz:
Goal directed navigation with uncertainty in adversary locations. IROS 2007: 4127-4134 - 2006
- [c19]Maxim Likhachev, Anthony Stentz:
PPCP: Efficient Probabilistic Planning with Clear Preferences in Partially-Known Environments. AAAI 2006: 860-867 - [c18]Maxim Likhachev, Sven Koenig:
Incremental Heuristic Search in Games: The Quest for Speed. AIIDE 2006: 118-120 - [c17]Sven Koenig, Maxim Likhachev:
A New Principle for Incremental Heuristic Search: Theoretical Results. ICAPS 2006: 402-405 - [c16]Sven Koenig, Maxim Likhachev:
Real-time adaptive A*. AAMAS 2006: 281-288 - 2005
- [j3]Sven Koenig, Maxim Likhachev:
Fast replanning for navigation in unknown terrain. IEEE Trans. Robotics 21(3): 354-363 (2005) - [c15]Maxim Likhachev, Sven Koenig:
A Generalized Framework for Lifelong Planning A* Search. ICAPS 2005: 99-108 - [c14]Maxim Likhachev, David I. Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun:
Anytime Dynamic A*: An Anytime, Replanning Algorithm. ICAPS 2005: 262-271 - [c13]Sven Koenig, Maxim Likhachev:
Adaptive A. AAMAS 2005: 1311-1312 - [c12]H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon:
Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. ICML 2005: 569-576 - 2004
- [j2]Sven Koenig, Maxim Likhachev, David Furcy:
Lifelong Planning A. Artif. Intell. 155(1-2): 93-146 (2004) - [j1]Sven Koenig, Maxim Likhachev, Yaxin Liu, David Furcy:
Incremental Heuristic Search in AI. AI Mag. 25(2): 99-112 (2004) - [c11]Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun:
Planning for Markov Decision Processes with Sparse Stochasticity. NIPS 2004: 785-792 - 2003
- [c10]Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun:
ARA*: Anytime A* with Provable Bounds on Sub-Optimality. NIPS 2003: 767-774 - 2002
- [c9]Sven Koenig, Maxim Likhachev:
D*Lite. AAAI/IAAI 2002: 476-483 - [c8]Sven Koenig, Maxim Likhachev:
Improved Fast Replanning for Robot Navigation in Unknown Terrain. ICRA 2002: 968-975 - [c7]J. Brian Lee, Maxim Likhachev, Ronald C. Arkin:
Selection of Behavioral Parameters: Integration of Discontinuous Switching via Case-Based Reasoning with Continuous Adaptation via Learning Momentum. ICRA 2002: 1275-1281 - [c6]Maxim Likhachev, Michael Kaess, Ronald C. Arkin:
Learning Behavioral Parameterization using Spatio-Temporal Case-Based Reasoning. ICRA 2002: 1282-1289 - [c5]Maxim Likhachev, Sven Koenig:
Incremental replanning for mapping. IROS 2002: 667-672 - [c4]Maxim Likhachev, Sven Koenig:
Speeding up the Parti-Game Algorithm. NIPS 2002: 1563-1570 - 2001
- [c3]Maxim Likhachev, Sven Koenig:
Lifelong Planning for Mobile Robots. Advances in Plan-Based Control of Robotic Agents 2001: 140-156 - [c2]Maxim Likhachev, Ronald C. Arkin:
Spatio-Temporal Case-Based Reasoning for Behavioral Selection. ICRA 2001: 1627-1634 - [c1]Sven Koenig, Maxim Likhachev:
Incremental A*. NIPS 2001: 1539-1546
Coauthor Index
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