2022 International Conference on Robotics and Automation (ICRA) · 2022 · 10 citations · 13 references
EngineeringComputer ScienceRobotics EngineeringGraspingHumanoid RoboticsRoboticsMappingPose EstimationRobot ManipulationRobot ManipulatorsWorkspace AnalysisComplexityInclined PlanesManipulationMobile Base DesignReachabilitySimulated Environments
For a robot to perform a grasping and manipulation task, it has to determine possible robot placements in the workspace, from which target objects or environmental elements relevant to the given task are reachable. This work presents a novel approach for finding placements for the mobile base of a humanoid robot in an unknown environment with multiple support planes. We propose a novel type of reachability map - the Oriented Surface Reachability Map - that takes inclined surfaces in the environment into account and has the same complexity as reachability maps designed for flat surfaces. The resulting robot placements are not limited to SE(2) but can be applied to arbitrarily oriented planes in 3D space. The proposed method was evaluated in simulation and on the humanoid robot ARMAR-6 in real-world grasping experiments. The results show that a placement can be found for over 80% of the poses that are reachable in complicated, simulated environments, with only a small runtime overhead.
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OctoMap: an efficient probabilistic 3D mapping framework based on octrees
Armin Hornung, Kai M. Wurm, Maren Bennewitz et al. · Autonomous Robots · 2013 · 2.8K citations