1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 1 cited
TacGNN:Learning Tactile-based In-hand Manipulation with a Blind Robot
Linhan Yang, Bidan Huang, Qingbiao Li +4
In this paper, we propose a novel framework for tactile-based dexterous manipulation learning with a blind anthropomorphic robotic hand, i.e. without visual sensing. First, object-…
cs.AI2023
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Chenning Yu, Qingbiao Li, Sicun Gao +1
Conflict-Based Search is one of the most popular methods for multi-agent path finding. Though it is complete and optimal, it does not scale well. Recent works have been proposed to…