FIRST’s Post

#BeyondMathTransformsEngineeringWithPhysicsAI BeyondMath has successfully raised $8 million in seed funding to revolutionize engineering design using AI trained on the vast knowledge of physics. By leveraging advanced AI models, BeyondMath aims to accelerate engineering simulations up to 1,000 times faster. The company’s platform enables rapid assessment of design concepts without the need for physical prototypes or expensive supercomputing simulations. This innovation holds promise for industries ranging from automotive to data centers. Notably, BeyondMath collaborated with a Formula One team to enhance race car aerodynamics, showcasing the platform's potential to replace costly supercomputers. #AIInnovation #BeyondMath #PhysicsAI #EngineeringRevolution #SaasVerse How do you foresee AI changing the landscape of engineering and design in the future?

Alvik ToF Simulation & Bi-Directional Communication Progress! 🚀🤖 After small parenthesis we're back to finish full coverage on Arduino Alvik! Check out progress on the Arduino Alvik ToF sensor simulation and bi-directional communication—setting the stage for some fascinating upcoming experiments in mixed reality (MXR)! 🌟 Alvik ToF Simulation: Time-of-Flight (ToF) sensor simulation into Arduino Alvik, enabling to test and visualize real-world applications like obstacle detection and fall prevention—all in a digital environment. This adds another layer of realism, making it easier for learners to explore the capabilities of robotics in a safe and immersive way. The mixed reality experiments with Alvik are coming soon, and I can't wait to showcase how MXR makes robotics even more accessible and engaging for everyone—from hobbyists to educators. 🤖✨ Stay tuned for more updates! What kind of experiments would you like to see in mixed reality with Alvik? Let me know your thoughts in the comments! 💬 #ArduinoAlvik #ToFSensor #DigitalTwin #RobotStudio #MixedReality #Teleoperation #Robotics #AI #Innovation #STEM #BiDirectionalCommunication #RoboticsEducation

Howdy! As the semester wraps up, I’d like to take a moment to reflect on the incredible opportunities I’ve had to grow as an engineer, collaborate with amazing people, and work on exciting projects. Here are some highlights from my semester: 🚀 IGNITE Competition (3rd Place): Competing in the Aero/Mechanical Track to provide initial design for a rocket landing system where we performed FEA and topology optimization on landing gear, rocket simulation in RocketSim and CFD on the body, and I worked on the model driven controller for landing. We earned a near-perfect score of 295/300. I am incredibly proud of the content of the report that we provided as we only lost points in the formatting of the report and the judges said "The analysis delivered went above and beyond." This would not have been possible with any other team, and I owe all of the success to Julia Sopala, Eduardo Burciaga-Ichikawa, and Kalen Cole Jaroszewski. 🎲 Marble Maze for the Elderly (Best Prototype): for my modeling and design class (MEEN 210), I conceptualized a modular game where players navigate a marble through a changing maze. Our design won the Best Prototype Award (18 teams competing) at the Project Showcase! Massive shoutout to the dream team: McKenzie McCain, Astrid Garcia, and Ryan Welty, the incredible TAs: Brianna Packer, and Aaron Edwards. 🤖 Disaster Response Observation Network (DRON): Leading the Turtle Project has been an incredible journey. This semester, we were incredibly ambitious with our goals, and we had an incredible demo. First and foremost, thank you to the subteam leads: Elizabeth Hannsz, Jacob Fuerst, and Aidan Briggs. Special shoutouts to Brian Russell for his work on the ROS links to Unity and Quinn Belmar in working with our GPS. 🔧 Roving Robotics: I launched a professional Instagram page to document my journey in robotics. From attending robotics conferences to showcasing projects, this platform has become a space to connect with others in the robotics community and share my passion for innovation. 🪐Rover Optimization Challenge (4th place): for Numerical Methods (MEEN 357) we were tasked with designing a rover to quickly navigate a mars terrain by optimizing 9 parameters with 5 constraints and a time to optimize. Out of 28 teams, we came in 4th. This was an incredible problem to dive into. 📊 Datathon 2024 (Connections AI Challenge): We designed an algorithm to play the New York Times Connections game using a word vectorization Machine Learning model. I can't wait to learn more about machine learning in the future. Even though we didn't place, I enjoyed the weekend building a working product with Joshua Mathew and Jason Lev. This semester has been an adventure of growth, resilience, and achievement. I’m grateful for the support of my mentors, peers, and teammates who made it all possible.

🚀 Genesis: A Game-Changing Physics Platform for Robotics and AI Excited to introduce Genesis, a revolutionary open-source physics engine developed by a multidisciplinary team from institutions like Carnegie Mellon, Stanford, MIT CSAIL, NVIDIA, and Tsinghua University. 🔍 Why Genesis is a Game-Changer: 🚀 430,000x Faster: Processes 43M FPS on a single RTX 4090—80x faster than existing tools like Isaac Gym. 🌌 Generative Capabilities: Create 4D dynamic worlds from text prompts for robot testing, motion generation, and scene creation. 🐍Python-First Design: Fully Python-based, simplifying integration and usability. ⚡ Robust Features: Unified physics solvers, photorealistic ray tracing, and support for robot models like arms, drones, and soft robots. With Genesis, researchers can simulate decades of robot learning in hours, lowering barriers to robotics and embodied AI innovation. Join the revolution in robotics and simulation! #AI #Robotics #PhysicsSimulation #OpenSource #Innovation

Excited to share our latest project! 🤖♟️ Over the past months, my colleagues Rayen Belfayez, Mehdi Nouni, and I have been working on a chess-playing robotic arm as part of our studies at the INSAT - Institut National des Sciences Appliquées et de Technologie. This project allowed us to delve deep into robotics, kinematics, and artificial intelligence. Using Arduino for the microcontroller, ROS with RViz for simulation, and Stockfish as the chess engine, we successfully developed a system capable of playing a full game of chess autonomously. We’ve documented every step of our journey in a comprehensive report, which I’m happy to share here. If you're interested in robotics, AI, or chess, feel free to check it out! #Robotics #AI #Chess #Engineering #Arduino #ROS #Stockfish

🎉 Exciting News from RARE Lab! 🎉 We are thrilled to announce the launch of our official LinkedIn page! 🚀 Welcome to the Reality, Autonomy, and Robot Experience (RARE) Lab, proudly founded by Prof. Zhao Han in August 2023, nestled in the vibrant Department of Computer Science and Engineering of USF College of Engineering at the University of South Florida. 🎯Our Mission: At RARE Lab, we are dedicated to tackling the grand challenges of integrating robots into society. We focus on designing and evaluating robotic systems and interactions that are not only capable but also comprehensible to humans. Our goal is to ensure that the benefits of robotics are sustained and accessible in everyday life. 🌍Our Vision: We foresee a future where robots enhance human experiences, promoting richer interactions, collaboration, and coexistence. At RARE Lab, we are committed to pioneering the next generation of robotics to create a harmonious environment where humans and robots can thrive together. Follow our page to stay updated with our latest research, innovations, and contributions to the field of robotics. 🔗 Follow us here! https://lnkd.in/gCzfvWbM #RARELab #Robotics #Innovation #Technology #USF #Engineering #AI #Cybersecurity

There is still time to register for the inaugural Space Robotics Workshop, part of the IEEE Space Computing + Space Mission Challenges for Information Technology, at the Computer History Museum in Mountain View, CA, on July 17-18. The field of space robotics is entering a transformative era, marked by ambitious science and exploration missions, the emergence of a new space economy, and rapid advancements in AI, sensors, and computation. We’re bringing together top experts from academia, industry, and government in robotics, AI, flight software, and mission operations to address the broad spectrum of opportunities and challenges presented by this new era. The SRW is organized around themed sessions: 1️⃣: Scaling up Robotics via Foundation Models: Exploring Opportunities and Challenges 2️⃣: Multi-Modal Robotic Cooperation for Next-Gen Space Missions 3️⃣: Space Use Cases for AI: Exploring Real Objectives and Challenges for Modern Robotics 4️⃣: Bots Before Boots: Venturing into New Worlds with Humanoid Robots as Modern Explorers We’ll also have a half-day tutorial session co-led with NVIDIA on Robotics Simulation with NVIDIA Isaac Sim and Omniverse. We look forward to seeing you there! Register at: https://lnkd.in/eUBAG3Gq Agenda: https://lnkd.in/gcRhuEpy Antoine Richard Meera Day Towler, P.E.

Join us tomorrow morning LIVE on YouTube for our LAST miniSERIES with MathWorks and a SPECIAL ANNOUNCEMENT you don't want to miss!! 🤖 📝 💻 Presented by @mathworks Session Three: Interfacing with VRX Environment Learn how you can interface with the VRX simulator and use the tools learned in the previous sessions to accomplish a task! *Our MathWorks miniSERIES is for all humans interested in revolutionizing robotics, cybersecurity, networks, sensors, and big data. Whether you're a student, advisor, judge, alumni member, sponsor, or robotics enthusiast, you're welcome to join us for our tech talks. #RoboNation #MathWorks #TechTalk #STEM #Autonomy #Math #Engineering #Simulink #Gazebo #Jetson #Nano #ComputerEngineering #VRX

Summary series of Robotics/AI development over several years Episode 13 Building on the hardware setup introduced in the previous episode, an efficient way to collect data and train models is by utilizing simulators such as the Nvidia Isaac simulator or OpenAI Gym. In this case, we used the Nvidia Isaac simulator as an example. We trained the policy using a state-of-the-art reinforcement learning algorithm, Soft Actor-Critic (SAC). To accelerate training, we ran the policy in parallel across 100 or more independent scenarios, enabling the robotic arm to successfully stack a red block on top of a green one. Enjoy the video.

Excited to share the glimpse of our on going project with The National Robotarium. The project demonstrates the synergy between NVIDIA Isaac SIM and real-world manipulation tasks using the UFACTORY Xarm5. By leveraging ROS2 and Moveit2, we're paving the way for integration between virtual and physical environments for robotics. This is a significant step towards a future where Omniverse will play a pivotal role in testing and visualizing real-world robot operations. Stay tuned for more updates in this series as we continue to push the boundaries of robotics and simulation! #robotics #simulation #nvidiaisaacsim #ros2 #moveit2 #xarm5 #omniverse #thenationalrobotarium