Quadcopter Team Configurable Motion Guided by a Quadruped

Mohammad Ghufran, Sourish Tetakayala, Jack Hughes, Aron Wilson, Hossein Rastgoftar

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

Abstract

The paper focuses on modeling and experimental evaluation of a quadcopter team configurable coordination guided by a single quadruped robot. We consider the quad-copter team as particles of a two-dimensional deformable body and propose a two-dimensional affine transformation model for safe and collision-free configurable coordination of this hetero-geneous robotic system. The proposed affine transformation is decomposed into translation, that is specified by the quadruped global position, and configurable motion of the quadcopters, which is determined by a nonsingular Jacobian matrix so that the quadcopter team can safely navigate a constrained environment while avoiding collision. We propose two methods to experimentally evaluate the proposed heterogeneous robot coordination model. The first method measures real positions of quadcopters, quadruped, and environmental objects all with respect to the global coordinate system. On the other hand, the second method measures position with respect to the local coordinate system fixed on the dog robot which in turn enables safe planning the Jacobian matrix of the quadcopter team while the world is virtually approached the robotic system.

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.
Pages1219-1224
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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