2 papers
cs.RO2025
Manipulate-to-Navigate: Reinforcement Learning with Visual Affordances and Manipulability Priors
Yuying Zhang, Joni Pajarinen
Mobile manipulation in dynamic environments is challenging due to movable obstacles blocking the robot's path. Traditional methods, which treat navigation and manipulation as separ…
cs.RO2025
Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance
Wenyan Yang, Ahmet Tikna, Yi Zhao +4
Visual planning, by offering a sequence of intermediate visual subgoals to a goal-conditioned low-level policy, achieves promising performance on long-horizon manipulation tasks. T…