3 accepted papers
Learning visuomotor policies with imitation learning from 3D observations is a primary research direction in robotic manipulation, as 3D data inherently captures spatial features critical for action. While many existing methods rely on multiview point cloud fusion, recent studies like 3D Diffusion P
Training drones to execute complex collective tasks via multi-agent reinforcement learning presents significant challenges. To address these challenges, this letter introduces the Task-Activated Language model-based Knowledge-Extension Reasoning system. Specifically, we trained drones in two fine-gr
Reinforcement learning for swarms of flying robots is a challenging task that requires a large number of data samples. Moreover, the problem of sim-to-real transfer has long been a challenge in robotics algorithm deployment. To address these issues, we propose Air-M, a platform that facilitates larg…