1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2024
Autonomous Behavior Planning For Humanoid Loco-manipulation Through Grounded Language Model
Jin Wang, Arturo Laurenzi, Nikos Tsagarakis
Enabling humanoid robots to perform autonomously loco-manipulation in unstructured environments is crucial and highly challenging for achieving embodied intelligence. This involves…
cs.RO2024★ 1 cited
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
Jin Wang, Rui Dai, Weijie Wang +3
Enabling robots to autonomously perform hybrid motions in diverse environments can be beneficial for long-horizon tasks such as material handling, household chores, and work assist…
cs.RO2023★ 1 cited
In-Hand Re-grasp Manipulation with Passive Dynamic Actions via Imitation Learning
Dehao Wei, Guokang Sun, Zeyu Ren +5
Re-grasp manipulation leverages on ergonomic tools to assist humans in accomplishing diverse tasks. In certain scenarios, humans often employ external forces to effortlessly and pr…