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Time-space Viewpoint Planning for Guard Robot with Chance Constraint

  • Igi ArdiyantoEmail author
  • Jun Miura
Research Article

Abstract

This paper presents a novel movement planning algorithm for a guard robot in an indoor environment, imitating the job of human security. A movement planner is employed by the guard robot to continuously observe a certain person. This problem can be distinguished from the person following problem which continuously follows the object. Instead, the movement planner aims to reduce the movement and the energy while keeping the target person under its visibility. The proposed algorithm exploits the topological features of the environment to obtain a set of viewpoint candidates, and it is then optimized by a cost-based set covering problem. Both the robot and the target person are modeled using geodesic motion model which considers the environment shape. Subsequently, a particle model-based planner is employed, considering the chance constraints over the robot visibility, to choose an optimal action for the robot. Simulation results using 3D simulator and experiments on a real environment are provided to show the feasibility and effectiveness of our algorithm.

Keywords

Guard robot viewpoint planning state-time space uncertainty topology chance-constraint 

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Copyright information

© Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electrical Engineering and Information TechnologyUniversitas Gadjah MadaYogyakartaIndonesia
  2. 2.Department of Computer Science and EngineeringToyohashi University of TechnologyAichiJapan

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