4 papers
Coarse-to-Fine Detection of Multiple Seams for Robotic Welding
Pengkun Wei, Shuo Cheng, Dayou Li +3
Efficiently detecting target weld seams while ensuring sub-millimeter accuracy has always been an important challenge in autonomous welding, which has significant application in in…
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…
Where to Fetch: Extracting Visual Scene Representation from Large Pre-Trained Models for Robotic Goal Navigation
Yu Li, Dayou Li, Chenkun Zhao +3
To complete a complex task where a robot navigates to a goal object and fetches it, the robot needs to have a good understanding of the instructions and the surrounding environment…
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…