7 citations · 7 across the 3 of their papers we have counts for
8 papers · 1 filter
Beyond Episodic Evaluation: Memory Architectural Bottlenecks in Sequential Embodied Question Answering
Zikui Cai, Kaushal Janga, Tan Dat Dao +15
Embodied question answering (EQA) is traditionally evaluated under an episodic formulation, where agents solve each task independently and reset internal state between episodes. Ho…
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…
Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
Huihan Liu, Rutav Shah, Shuijing Liu +6
Assistive teleoperation, where control is shared between a human and a robot, enables efficient and intuitive human-robot collaboration in diverse and unstructured environments. A…
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…
LEGATO: Cross-Embodiment Imitation Using a Grasping Tool
Mingyo Seo, H. Andy Park, Shenli Yuan +2
Cross-embodiment imitation learning enables policies trained on specific embodiments to transfer across different robots, unlocking the potential for large-scale imitation learning…
OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation
Jinhan Li, Yifeng Zhu, Yuqi Xie +4
We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations. We introduce OKAMI, a method that generates a manipulation plan…