Motion Planning for Quadrupled Teams: An Experimental Evaluation Using a Dynamic Fluid Flow Model

Mohammad Ghufran, Sourish Tetakayala, Hossein Rastgoftar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper applies the principles of fluid mechan-ics to develop a new method for motion planning in contented environments where multiple groups of agents want to reach their target while guaranteeing inter-agent collision avoidance. Assuming M groups of agents exist in the same motion space, we propose a time-varying ideal fluid flow model to safely plan the desired coordination of each group in the presence of other groups that are considered singularity points in the fluid flow field. To ensure that each group reaches its target destination, we propose to define the desired trajectory of each group along the streamlines of the fluid field but continuously direct the streamlines toward the target destination. The proposed solution, is experimentally evaluated by using quadruped robots in an indoor robotic facility.

Original languageEnglish (US)
Title of host publication2024 18th International Conference on Control, Automation, Robotics and Vision, ICARCV 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages387-392
Number of pages6
ISBN (Electronic)9798331518493
DOIs
StatePublished - 2024
Event18th International Conference on Control, Automation, Robotics and Vision, ICARCV 2024 - Dubai, United Arab Emirates
Duration: Dec 12 2024Dec 15 2024

Publication series

Name2024 18th International Conference on Control, Automation, Robotics and Vision, ICARCV 2024

Conference

Conference18th International Conference on Control, Automation, Robotics and Vision, ICARCV 2024
Country/TerritoryUnited Arab Emirates
CityDubai
Period12/12/2412/15/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization

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