35 citations · 46 across the 4 of their papers we have counts for
4 papers
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Puhao Li, Tengyu Liu, Yuyang Li +6
Autonomous robotic systems capable of learning novel manipulation tasks are poised to transform industries from manufacturing to service automation. However, modern methods (e.g.,…
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
Shu Wang, Muzhi Han, Ziyuan Jiao +4
Conventional Task and Motion Planning (TAMP) approaches rely on manually crafted interfaces connecting symbolic task planning with continuous motion generation. These domain-specif…
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks
Xiaofeng Gao, Ran Gong, Yizhou Zhao +3
Human collaborators can effectively communicate with their partners to finish a common task by inferring each other's mental states (e.g., goals, beliefs, and desires). Such mind-a…
VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning
Xiaofeng Gao, Ran Gong, Tianmin Shu +3
One of the main challenges of advancing task-oriented learning such as visual task planning and reinforcement learning is the lack of realistic and standardized environments for tr…