Carnegie Mellon University / Robotics Institute / Massachusetts Institute of Technology / /
IndustryTerm
motion planning algorithms / manipulation planning algorithm / lower cost solutions / close-to-optimal solutions / algorithm found solutions / local and such algorithms / as described in Algorithm / final solutions / feasible solution / collision-free solution / search tree starting / incremental sampling-based motion planning algorithm / low quality solutions / graph search algorithms / search space / /
Organization
Massachusetts Institute of Technology / Robotics Institute / Carnegie Mellon University / Laboratory for Information and Decision Systems / /
Person
Alejandro Perez Sertac Karaman Alexander / ARLO R ESULTS / Emilio Frazzoli Seth Teller Matthew / Matthew R. Walter / Emilio Frazzoli / Alexander Shkolnik Emilio Frazzoli Seth / Seth Teller / Sertac Karaman / Alexander Shkolnik / R. Walter Abstract / Alejandro Perez / /
Position
teller / standard RRT planner / planner / /
Product
PR2 / /
ProvinceOrState
California / Massachusetts / /
Technology
RRT∗ algorithms / three algorithms / incremental sampling-based motion planning algorithm / RRT∗ algorithm / 4 5 6 7 8 9 10 11 12 C. RRT∗ Algorithm / sampling-based planning algorithm / 1 2 Algorithm / manipulation planning algorithm / 1 2 3 4 5 6 7 Algorithm / graph search algorithms / machine learning / four planning algorithms / RRT algorithm / two algorithms / sampling-based algorithms / Manipulation using Incremental Sampling-based Algorithms / proposed algorithm / planning algorithm / Ball Tree algorithm / B. RRT algorithm / simulation / motion planning algorithms / D. Ball Tree Algorithm The Ball Tree algorithm / /
Asymptotically-optimal Path Planning for Manipulation using Incremental Sampling-based Algorithms