1 citations · 1 across the 5 of their papers we have counts for
6 papers
Beyond Kinematic Tracking: Preserving Expressive Characteristics in Humanoid Whole-Body Control
Lingfan Bao, Hanshang Zhu, Yan Pan +6
Whole-body control plays a crucial role in enabling humanoid robots to execute expressive motions. Faithful execution requires preserving both the intended action and its expressiv…
Self-Aware Active Learning Enables Continual Improvement in Autonomous Driving
Dong Hu, Chao Huang, Carman K. M. Lee +1
Learning-based autonomous driving (AD) systems can perform reliably in familiar conditions, yet rare distribution shifts and long-tail events remain a major source of abrupt failur…
Reactive Motion Generation via Phase-varying Neural Potential Functions
Ahmet Tekden, Dimitrios Kanoulas, Aude Billard +1
Dynamical systems (DS) methods for Learning-from-Demonstration (LfD) provide stable, continuous policies from few demonstrations. First-order dynamical systems (DS) are effective f…
Quadruped Parkour Learning: Sparsely Gated Mixture of Experts with Visual Input
Michael Ziegltrum, Jianhao Jiao, Tianhu Peng +2
Robotic parkour provides a compelling benchmark for advancing locomotion over highly challenging terrain, including large discontinuities such as elevated steps. Recent approaches…
Discovery of skill switching criteria for learning agile quadruped locomotion
Wanming Yu, Fernando Acero, Vassil Atanassov +4
This paper develops a hierarchical learning and optimization framework that can learn and achieve well-coordinated multi-skill locomotion. The learned multi-skill policy can switch…
Learning Bipedal Walking on a Quadruped Robot via Adversarial Motion Priors
Tianhu Peng, Lingfan Bao, Joseph Humphreys +3
Previous studies have successfully demonstrated agile and robust locomotion in challenging terrains for quadrupedal robots. However, the bipedal locomotion mode for quadruped robot…