2 papers
cs.RO2026
Flow Policies as Actions of Skill-Level World Models: Learned and Symbolic Abstractions for Long-Horizon Planning
Andreu Matoses Gimenez, Andrei-Carlo Papuc, Chris Pek +1
Latent world models enable robots to plan by predicting the consequences of actions. Planning long tasks with control-rate actions requires many prediction steps, which enlarges th…
cs.RO2025
Cross-Entropy Optimization of Physically Grounded Task and Motion Plans
Andreu Matoses Gimenez, Nils Wilde, Chris Pek +1
Autonomously performing tasks often requires robots to plan high-level discrete actions and continuous low-level motions to realize them. Previous TAMP algorithms have focused main…