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arxiv: 1901.06109 · v1 · submitted 2019-01-18 · 💻 cs.RO

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Look before you sweep: Visibility-aware motion planning

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classification 💻 cs.RO
keywords robotsensorplanningproblembeforefieldmoveview
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This paper addresses the problem of planning for a robot with a directional obstacle-detection sensor that must move through a cluttered environment. The planning objective is to remain safe by finding a path for the complete robot, including sensor, that guarantees that the robot will not move into any part of the workspace before it has been seen by the sensor. Although a great deal of work has addressed a version of this problem in which the "field of view" of the sensor is a sphere around the robot, there is very little work addressing robots with a narrow or occluded field of view. We give a formal definition of the problem, several solution methods with different computational trade-offs, and experimental results in illustrative domains.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Visibility-Aware Mobile Grasping in Dynamic Environments

    cs.RO 2026-05 unverdicted novelty 5.0

    A visibility-aware mobile grasping system with iterative whole-body planning and behavior-tree subgoal generation achieves 68.8% success in unknown static and 58% in dynamic environments, outperforming a baseline by 2...

  2. Visibility-Aware Mobile Grasping in Dynamic Environments

    cs.RO 2026-05 unverdicted novelty 4.0

    A unified visibility-aware mobile grasping system using whole-body planning, active perception, and behavior trees improves success rates in unknown static and dynamic environments.