Lagriffoul, FabienDantam, Neil T.Garrett, CaelanAkbari, AliakbarSrivastava, SiddharthKavraki, Lydia E.2018-06-052022-02-022018-06-052022-02-022018https://hdl.handle.net/11124/172349http://dx.doi.org/10.25676/11124/172349We present the first platform-independent evaluation method for Task and Motion Planning (TAMP). Previously point, various problems have been used to test individual planners for specific aspects of TAMP. However, no common set of metrics, formats, and problems have been accepted by the community. We propose a set of benchmark problems covering the challenging aspects of TAMP and a planner-independent specification format for these problems. Our objective is to better evaluate and compare TAMP planners, foster communication and progress within the field, and lay a foundation to better understand this class of planning problems.reportsengCopyright of the original work is retained by the authors.Task and Motion Planning (TAMP)TAMProboticsartificial intelligenceText