13 citations · 37 across the 12 of their papers we have counts for
3 papers · 1 filter
REMM: Revisable Embodied Memory for Manipulation
Revanth Krishna Senthilkumaran, Ruwan Wickramarachchi, Alessandro Oltramari +1
Long-horizon manipulation requires robots to retain task-relevant history while revising conclusions no longer supported by physical evidence. Retaining observations alone does not…
GTA-2: A Multi-VLM Framework for Synthesizing Robot Manipulation Skills via Grounded Task Axes
M. Yunus Seker, Shobhit Aggarwal, Ruwan Wickramarachchi +2
Robotic manipulation tasks are often decomposed into behaviors or skills. However, one often needs to predefine these behaviors for specific tasks or try to cover a wide range of t…
Recover, Discover, Plan: Learning Skills and Concepts from Robot Failures
Bowen Li, Mayank Mishra, Y. Isabel Liu +7
Intelligent robots should not only recover from failures, but also acquire the abstract knowledge needed to avoid them in the future. While reinforcement learning (RL) can learn re…