2 papers
cs.RO2026
TONAV: Task-Oriented Navigation and Action-Velocity Chunk Learning for Articulated Object Quadrupedal Mobile Manipulation
Haoran Lin, Mingyu Yang, Pengfei Qi +6
Quadruped mobile manipulation requires two tightly coupled capabilities: reaching manipulation-ready configurations and maintaining stable contact throughout articulated-object int…
cs.RO2026
DexPIE: Stable Dexterous Policy Improvement from Real-World Experience
Ruizhe Liao, Wenrui Chen, Liangji Zeng +4
Dexterous manipulation presents substantial challenges for imitation learning due to its high-dimensional action space and complex contact-rich dynamics. Policies trained purely fr…