Showing cs.ROShow all
2 papers · 1 filter
cs.RO2026
ContactFlow: A video action conditioning that transfers across embodiments
Sami Azirar, Enrico Pallotta, Jan Nogga +3
World models offer a promising route toward robot planning by enabling agents to imagine and verify the consequences of actions before execution. However, current video-based world…
cs.RO2026
SYMBOLIZER: Symbolic Model-free Task Planning with VLMs
Sami Azirar, Zlatan Ajanovic, Hermann Blum
Traditional Task and Motion Planning (TAMP) systems depend on physics models for motion planning and discrete symbolic models for task planning. Although physics model are often av…