1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2026
CIDER: Continual Interactive Distillation for Embodied Reinforcement Learning
Houlin Li, Minghui Xu, Guo Xu +8
Human-in-the-loop real-world reinforcement learning enables rapid acquisition of effective robotic manipulation policies for individual tasks, often within tens of minutes. Yet it…
cs.RO2025★ 1 cited
AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
AgiBot World Contributors, AgiBot-World-Contributors, Qingwen Bu +50
We explore how scalable robot data can address real-world challenges for generalized robotic manipulation. Introducing AgiBot World, a large-scale platform comprising over 1 millio…