64 citations · 123 across the 15 of their papers we have counts for
6 papers · 1 filter
Embedding high-resolution touch across robotic hands enables adaptive human-like grasping
Zihang Zhao, Wanlin Li, Yuyang Li +9
Developing robotic hands that adapt to real-world dynamics remains a fundamental challenge in robotics and machine intelligence. Despite significant advances in replicating human h…
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.,…
Part-level Scene Reconstruction Affords Robot Interaction
Zeyu Zhang, Lexing Zhang, Zaijin Wang +5
Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significan…
Rearrange Indoor Scenes for Human-Robot Co-Activity
Weiqi Wang, Zihang Zhao, Ziyuan Jiao +3
We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better. The rearrangement aims to afford sufficient accessible…
Sequential Manipulation Planning on Scene Graph
Ziyuan Jiao, Yida Niu, Zeyu Zhang +3
We devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential task planning. Augmented with predicate-like attributes, this contact graph-based represen…
Understanding Physical Effects for Effective Tool-use
Zeyu Zhang, Ziyuan Jiao, Weiqi Wang +3
We present a robot learning and planning framework that produces an effective tool-use strategy with the least joint efforts, capable of handling objects different from training. L…