most citedPolicy-Guided Lazy Search with Feedback for Task and Motion Planning

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

2 papers · 1 filter

cs.RO2023

Geometry Matching for Multi-Embodiment Grasping

Maria Attarian, Muhammad Adil Asif, Jingzhou Liu +4

Many existing learning-based grasping approaches concentrate on a single embodiment, provide limited generalization to higher DoF end-effectors and cannot capture a diverse set of…

cs.RO2022★ 2 cited

Policy-Guided Lazy Search with Feedback for Task and Motion Planning

Mohamed Khodeir, Atharv Sonwane, Ruthrash Hari +1

PDDLStream solvers have recently emerged as viable solutions for Task and Motion Planning (TAMP) problems, extending PDDL to problems with continuous action spaces. Prior work has…