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Human-Aware Waypoint Planner for Mobile Robot in Indoor Environments

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

As the utilization of robots in indoor environments increases, it has become common for humans and robots to co-exist in such environments. Most human-aware navigation algorithms only considered humans in the robot's field of view. However, in cases of L-shape corridors, there is a high possibility that human suddenly appears. To deal with this situation, we propose an improved corner detection algorithm and a novel waypoint planner, WPC. The proposed algorithm is validated through simulations using PedSim and Gazebo.

Original languageEnglish
Title of host publicationProceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages287-291
Number of pages5
ISBN (Electronic)9781665472609
DOIs
Publication statusPublished - 2022
Event6th IEEE International Conference on Robotic Computing, IRC 2022 - Virtual, Online, Italy
Duration: 5 Dec 20227 Dec 2022

Publication series

NameProceedings - 2022 6th IEEE International Conference on Robotic Computing, IRC 2022

Conference

Conference6th IEEE International Conference on Robotic Computing, IRC 2022
Country/TerritoryItaly
CityVirtual, Online
Period5/12/227/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Corner-Detection
  • Corner-Turning
  • Human-Aware Robot Navigation
  • Human-Robot Interaction

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