Presentation
PARC: Physics-based Augmentation with Reinforcement Learning for Character Controllers
DescriptionPARC is a framework that enhances terrain traversal with machine learning and physics-based simulation. By iteratively training a kinematic motion generator and simulated motion tracker, PARC produces a character controller capable of traversing complex environments using highly agile motor skills, overcoming the challenges of limited motion capture data.
Event Type
Technical Paper
TimeWednesday, 13 August 20254:05pm - 4:15pm PDT
LocationWest Building, Rooms 220-222
ACM Digital Library
Journal Papers' PDFs
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Conference Papers' PDFs
Session Time & Location
Sunday, 10 August 20256:00pm - 8:45pm PDTWest Building, Ballroom AB
Wednesday, 13 August 20253:45pm - 5:35pm PDTWest Building, Rooms 220-222
Research & Education
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Wednesday
