A Comparison of Endpoint and Path Constraints for Single-Footstep Motion Generation

Speaker

Jin Kim
| Virtual Environment Lab

Abstract

We compare endpoint, via-point and dense path constraints for a single footstep.
DART is frozen; all optimized methods share 48 paired conditions and equal update budgets.
Endpoint and via-point each succeed in 30/48 conditions, versus 21/48 for full UCPC.
Full UCPC has lower mean joint jerk, but this does not establish command success or realism.
This corrected pilot supports a bounded comparison, not universal path-control inferiority.

Jin Kim is currently pursuing the M.S. degree at the Graduate school of Advanced Imaging Science, Multimedia & Film(GSAIM), Chung-Ang University, Seoul, South Korea. Research interests include AI-based 3D human motion generation and control. Current work examines motion generation under text-specified action sequences and durations. Another research direction explores multiscale latent representations and diffusion models for generating overall movement and fine motion details in stages.

List
  • 중앙대학교 첨단영상대학원
  • BK21 FOUR 중앙대학교 인공지능-콘텐츠 미래산업 교육연구단
  • NRF 한국연구재단
  • 중앙대학교 영상콘텐츠융합연구소
  • 김영삼도서관
  • 동작문화재단