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Pushing and Rotating a Heavy Mass Rigid Body Using an Omnidirectional Aerial Manipulator

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

Abstract

This paper presents the pushing and rotation of a heavy rigid body using an omnidirectional actively tilted aerial manipulator, controlled via a hybrid force/position controller. Unlike conventional unmanned aerial vehicles, the proposed system enables precise horizontal force application, making it ideal for aerial physical interaction tasks. The hybrid controller is implemented in the Robot Operating System and validated through extensive simulations in a Gazebo physics-engine-based environment. The manipulator's performance was evaluated in two scenarios: circular trajectory tracking and the rotation of a heavy rigid mass. Results demonstrated its capability to follow complex trajectories with high accuracy and exert sustained forces for object manipulation. The system exhibited excellent stability and precision, underscoring its potential for real-world applications in challenging environments.

Original languageEnglish
Title of host publication6th International Conference on Robotics and Automation in Industry, ICRAI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350355703
DOIs
StatePublished - 2024
Externally publishedYes
Event6th International Conference on Robotics and Automation in Industry, ICRAI 2024 - Rawalpindi, Pakistan
Duration: 18 Dec 202419 Dec 2024

Publication series

Name6th International Conference on Robotics and Automation in Industry, ICRAI 2024

Conference

Conference6th International Conference on Robotics and Automation in Industry, ICRAI 2024
Country/TerritoryPakistan
CityRawalpindi
Period18/12/2419/12/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Omnidirectional aerial manipulator
  • actively tilting multirotor
  • physical interaction
  • pushing and rotating rigid body
  • robust controller

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Instrumentation
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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