Schedule
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08:30 - 08:40 |
Opening Remarks
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08:40 - 09:10 |
Learning Generalizable Dexterous Grasping Policy from Point Clouds
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He Wang
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09:10 - 09:40 |
Learning to Fly in the Wild (TBU)
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Davide Scaramuzza
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09:40 - 10:10 |
Robot Skill Acquisition: Where do things stand in simulation & sim2real land?
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Dhruv Batra
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10:10 - 10:30 |
Spotlight 1: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Spotlight 2: Extreme Parkour with Legged Robots Spotlight 3: Constructing interactive Realistic Scenes from Real Images via Simulation and Generative Modeling Spotlight 4: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild |
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10:30 - 11:00 |
Poster Session 1 & Coffee Break
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11:00 - 11:30 |
Dynamics-Aware Learning: from Simulated Reality to Physical World
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Ming C. Lin
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11:30 - 12:00 |
Large-scale and Diverse Human Demonstrations for Training Generalist Robots
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Karen Liu
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12:00 - 12:30 |
Robot Skill Acquisition: Three Workflows and Path Forward
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Shuran Song & Huy Ha
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12:30 - 13:30 |
Lunch Break
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13:30 - 14:00 |
Large-Scale Data-Driven Robotic Learning
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Sergey Levine
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14:00 - 14:30 |
When Large Language Models Meet Physics Simulation
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Chuang Gan
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14:30 - 15:00 |
Learning from Observational Data (TBU)
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Abhinav Gupta
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15:00 - 15:30 |
Training Manipulation Skills in Simulation
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Dieter Fox
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15:30 - 16:10 |
Coffee Break
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16:20 - 16:40 |
Spotlight 5: LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Spotlight 6: GELLO: A General, Low-Cost, and Intuitive Teleoperation Framework for Robot Manipulators Spotlight 7: Eureka: Human-Level Reward Design via Coding Large Language Models Spotlight 8: BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation |
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16:40 - 17:30 |
Panel Discussion with Karen Liu, Ming Lin, David Held and He Wang, moderated by Theophile Gervet
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17:30 - 17:40 |
Closing Remarks
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