7 citations · 16 across the 12 of their papers we have counts for
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cs.RO2025★ 1 cited
LLM-GROP: Visually Grounded Robot Task and Motion Planning with Large Language Models
Xiaohan Zhang, Yan Ding, Yohei Hayamizu +6
Task planning and motion planning are two of the most important problems in robotics, where task planning methods help robots achieve high-level goals and motion planning methods m…
cs.RO2025
MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos
Rutav Shah, Shuijing Liu, Qi Wang +5
We aim to enable humanoid robots to efficiently solve new manipulation tasks from a few video examples. In-context learning (ICL) is a promising framework for achieving this goal d…
cs.RO2025★ 3 cited
FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation
Siqi Shang, Mingyo Seo, Yuke Zhu +1
Handling fragile objects remains a major challenge for robotic manipulation. Tactile sensing and soft robotics can improve delicate object handling, but typically involve high inte…