Multirobot Control Strategies for Collective Transport

Hamed Farivarnejad, Spring Berman

Research output: Contribution to journalReview articlepeer-review

Abstract

One potential application of multirobot systems is collective transport, a task in which multiple robots collaboratively move a payload that is too large or heavy for a single robot. In this review, we highlight a variety of control strategies for collective transport that have been developed over the past three decades. We characterize the problem scenarios that have been addressed in terms of the control objective, the robot platform and its interaction with the payload, and the robots rsquo capabilities and information about the payload and environment. We categorize the control strategies according to whether their sensing, computation, and communication functions are performed by a centralized supervisor or specialized robot or autonomously by the robots. We provide an overview of progress toward control strategies that can be implemented on robots with expanded autonomous functionality in uncertain environments using limited information, and we suggest directions for future work on developing such controllers.

Original languageEnglish (US)
Pages (from-to)205-219
Number of pages15
JournalAnnual Review of Control, Robotics, and Autonomous Systems
Volume5
DOIs
StatePublished - 2022
Externally publishedYes

Keywords

  • Centralized control
  • Collective transport
  • Cooperative manipulation
  • Decentralized control
  • Leader follower control
  • Multirobot systems
  • Robotic swarms

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering
  • Engineering (miscellaneous)

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