Presentation / Installation


PMP: Learning to Physically Interact With Environments Using Part-wise Motion Priors
SessionCharacter Animation: Interaction
DescriptionWe propose a reinforcement learning framework to enable complex levels of physical interaction for a whole-body character. Our method leverages part-wise skills from multiple sources and combines them to generate novel skills. Experiments show our approach encourages agents to exhibit natural motions while performing in challenging scenarios like rope climbing.
Authors
Jinseok Bae
Seoul National University
Jungdam Won
Seoul National University
Donggeun Lim
Seoul National University
Cheol-Hui Min
Seoul National University
Young Min Kim
Seoul National University
Event Type
Technical Paper
TimeThursday, 10 August 202311:27am - 11:37am PDT
LocationPetree Hall C
ACM Digital Library Technical Paper PDF
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Thursday, 10 August 202310:45am - 12:15pm PDTPetree Hall C
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation/Simulation
Artificial Intelligence/Machine Learning
Registration Categories
FC
FCS
V
VS
EFC
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