2 papers
cs.RO2026
Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation
Yulin Zhou, Yimeng Wang, Nengyu Wang +9
General-purpose robot policies should be modeled as dynamical systems, yet many VLA and generative imitation policies still rely on present observations or short windows. This Mark…
cs.RO2025
MTIL: Encoding Full History with Mamba for Temporal Imitation Learning
Yulin Zhou, Yuankai Lin, Fanzhe Peng +4
Standard imitation learning (IL) methods have achieved considerable success in robotics, yet often rely on the Markov assumption, which falters in long-horizon tasks where history…