activity
20202026
most citedIntegrating Action Knowledge and LLMs for Task Planning and Situation Handling in Open Worlds

59 citations · 162 across the 17 of their papers we have counts for

collaborators
Showing 2024 · cs.ROShow all

1 paper · 2 filters

cs.RO2024★ 51 cited

A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches

Zhigen Zhao, Shuo Cheng, Yan Ding +4

Task and Motion Planning (TAMP) integrates high-level task planning and low-level motion planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic…