49 citations · 125 across the 28 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation
Weihao Yuan, Kaiyu Hang, Haoran Song +3
Moving a human body or a large and bulky object can require the strength of whole arm manipulation (WAM). This type of manipulation places the load on the robot's arms and relies o…
Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning
Weihao Yuan, Johannes A. Stork, Danica Kragic +2
Rearranging objects on a tabletop surface by means of nonprehensile manipulation is a task which requires skillful interaction with the physical world. Usually, this is achieved by…
Dexterous Manipulation Graphs
Silvia Cruciani, Christian Smith, Danica Kragic +1
We propose the Dexterous Manipulation Graph as a tool to address in-hand manipulation and reposition an object inside a robot's end-effector. This graph is used to plan a sequence…