RobotKeyframing: Learning Locomotion with High-Level Objectives via Mixture of Dense and Sparse Rewards

F Zargarbashi, J Cheng, D Kang, R Sumner… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper presents a novel learning-based control framework that uses keyframing to
incorporate high-level objectives in natural locomotion for legged robots. These high-level …

PDP: Physics-Based Character Animation via Diffusion Policy

TE Truong, M Piseno, Z Xie, CK Liu - arXiv preprint arXiv:2406.00960, 2024 - arxiv.org
Generating diverse and realistic human motion that can physically interact with an
environment remains a challenging research area in character animation. Meanwhile …

BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains

GVS Mothish, M Tayal, S Kolathaya - arXiv preprint arXiv:2407.05424, 2024 - arxiv.org
Locomotion on unknown terrains is essential for bipedal robots to handle novel real-world
challenges, thus expanding their utility in disaster response and exploration. In this work, we …