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Found 9 papers, 2 papers with code
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
We first present Mobile ALOHA, a low-cost and whole-body teleoperation system for data collection.
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
We provide theoretical analysis of our selection mechanism and demonstrate that ROAM enables a robot to adapt rapidly to changes in dynamics both in simulation and on a real Go1 quadruped, even successfully moving forward with roller skates on its feet.
Robot Parkour Learning
Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments.
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
The standard hierarchical control pipeline for such legged manipulators is to decouple the controller into that of manipulation and locomotion.
Coupling Vision and Proprioception for Navigation of Legged Robots
A safety advisor module adds sensed unexpected obstacles to the occupancy map and environment-determined speed limits to the velocity command generator.
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
We demonstrate that learning to minimize energy consumption plays a key role in the emergence of natural locomotion gaits at different speeds in real quadruped robots.
Emergence of Theory of Mind Collaboration in Multiagent Systems
Currently, in the study of multiagent systems, the intentions of agents are usually ignored.
RMA: Rapid Motor Adaptation for Legged Robots
Successful real-world deployment of legged robots would require them to adapt in real-time to unseen scenarios like changing terrains, changing payloads, wear and tear.
Emergence of Pragmatics from Referential Game between Theory of Mind Agents
Pragmatics studies how context can contribute to language meanings.
