2 citations · 2 across the 3 of their papers we have counts for
4 papers
RMMBench: A Comprehensive Benchmark for Robotic Mobile Manipulation
Huapeng Li, Fuxiang Feng, Jinqiu Fan +5
Although the advancement of vision-language models (VLMs) has endowed robots with enhanced environmental understanding and task reasoning, a comprehensive evaluation methodology is…
Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks
Dayou Li, Chenkun Zhao, Shuo Yang +3
We study the task of language instruction-guided robotic manipulation, in which an embodied robot is supposed to manipulate the target objects based on the language instructions. I…
MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang +3
This paper focuses on target-oriented grasping in occluded scenes, where the target object is specified by a binary mask and the goal is to grasp the target object with as few robo…
Learning Actions from Human Demonstration Video for Robotic Manipulation
Shuo Yang, Wei Zhang, Weizhi Lu +2
Learning actions from human demonstration is an emerging trend for designing intelligent robotic systems, which can be referred as video to command. The performance of such approac…