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2020 – today
- 2024
[c17]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Sven Koenig, Tsung-Wei Huang, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. AAMAS 2024: 2183-2185- [c16]Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa:
Theoretical Study on Multi-objective Heuristic Search. IJCAI 2024: 7021-7028 - [i5]Shao-Hung Chan, Zhe Chen, Dian-Lun Lin, Yue Zhang, Daniel Harabor, Tsung-Wei Huang, Sven Koenig, Thomy Phan:
Anytime Multi-Agent Path Finding using Operation Parallelism in Large Neighborhood Search. CoRR abs/2402.01961 (2024) - [i4]Thomy Phan, Benran Zhang, Shao-Hung Chan, Sven Koenig:
Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic. CoRR abs/2408.02960 (2024) - 2023
- [j1]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis
, Steven Schafrik, Stefanos Nikolaidis:
Multi-robot geometric task-and-motion planning for collaborative manipulation tasks. Auton. Robots 47(8): 1537-1558 (2023) - [c15]Oren Salzman, Ariel Felner, Carlos Hernández, Han Zhang, Shao-Hung Chan, Sven Koenig:
Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities. IJCAI 2023: 6759-6768 - [c14]Shao-Hung Chan, Roni Stern, Ariel Felner, Sven Koenig:
Greedy Priority-Based Search for Suboptimal Multi-Agent Path Finding. SOCS 2023: 11-19 - [c13]Shawn Skyler, Shahaf S. Shperberg, Dor Atzmon, Ariel Felner, Oren Salzman, Shao-Hung Chan, Han Zhang, Sven Koenig, William Yeoh, Carlos Hernández Ulloa:
Must-Expand Nodes in Multi-Objective Search [Extended Abstract]. SOCS 2023: 183-184 - [i3]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Peter Kolapo, Sven Koenig, Zach Agioutantis, Steven Schafrik, Stefanos Nikolaidis:
Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks. CoRR abs/2310.08802 (2023) - 2022
- [c12]Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. AAAI 2022: 9313-9322 - [c11]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CASE 2022: 2102-2109 - [c10]Eli Boyarski, Shao-Hung Chan, Dor Atzmon, Ariel Felner, Sven Koenig:
On Merging Agents in Multi-Agent Pathfinding Algorithms. SOCS 2022: 11-19 - [i2]Hejia Zhang, Shao-Hung Chan, Jie Zhong, Jiaoyang Li, Sven Koenig, Stefanos Nikolaidis:
A MIP-Based Approach for Multi-Robot Geometric Task-and-Motion Planning. CoRR abs/2210.08005 (2022) - 2021
- [c9]Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig:
Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. ICAPS 2021: 477-485 - [c8]Shao-Hung Chan, Jiaoyang Li, Graeme Gange, Daniel Harabor, Peter J. Stuckey, Sven Koenig:
ECBS with Flex Distribution for Bounded-Suboptimal Multi-Agent Path Finding. SOCS 2021: 159-161 - [c7]Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Daniel Harabor, Peter J. Stuckey, Hang Ma, Sven Koenig:
Scalable Rail Planning and Replanning: Winning the 2020 Flatland Challenge. SOCS 2021: 179-181 - [c6]Han Zhang, Mingze Yao, Ziang Liu, Jiaoyang Li, Lucas Terr, Shao-Hung Chan, T. K. Satish Kumar, Sven Koenig:
A Hierarchical Approach to Multi-Agent Path Finding. SOCS 2021: 209-211 - [i1]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR abs/2103.16511 (2021) - 2020
- [c5]Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty:
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) 2020: 275-301
2010 – 2019
- 2019
- [c4]Ping-Tsang Wu, Chee-An Yu, Shao-Hung Chan, Ming-Li Chiang, Li-Chen Fu:
Multi-Layer Environmental Affordance Map for Robust Indoor Localization, Event Detection and Social Friendly Navigation. IROS 2019: 2945-2950 - [c3]Shao-Hung Chan, Xiaoyue Xu, Ping-Tsang Wu, Ming-Li Chiang, Li-Chen Fu:
Real-time Obstacle Avoidance using Supervised Recurrent Neural Network with Automatic Data Collection and Labeling. SMC 2019: 472-477 - 2018
- [c2]Shih-Hsi Hsu, Shao-Hung Chan, Ping-Tsang Wu, Kun Xiao, Li-Chen Fu:
Distributed Deep Reinforcement Learning based Indoor Visual Navigation. IROS 2018: 2532-2537 - [c1]Shao-Hung Chan, Ping-Tsang Wu, Li-Chen Fu:
Robust 2D Indoor Localization Through Laser SLAM and Visual SLAM Fusion. SMC 2018: 1263-1268
Coauthor Index
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