3 papers
cs.RO2026
TransCurriculum: Multi-Dimensional Curriculum Learning for Fast & Stable Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
High-speed legged locomotion struggles with stability and transfer losses at higher command velocities during deployment. One reason is that most curricula vary difficulty along si…
cs.RO2025
McARL:Morphology-Control-Aware Reinforcement Learning for Generalizable Quadrupedal Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
We present Morphology-Control-Aware Reinforcement Learning (McARL), a new approach to overcome challenges of hyperparameter tuning and transfer loss, enabling generalizable locomot…
cs.RO2025
HACL: History-Aware Curriculum Learning for Fast Locomotion
Prakhar Mishra, Amir Hossain Raj, Xuesu Xiao +1
We address the problem of agile and rapid locomotion, a key characteristic of quadrupedal and bipedal robots. We present a new algorithm that maintains stability and generates high…