Cooperative Modular Manipulation with Numerous Cable-Driven Robots for Assistive Construction and Gap Crossing

Kevin Murphy, Joao C.V. Soares, Justin K. Yim, Dustin Nottage, Ahmet Soylemezoglu, Joao Luiz Almeida de Souza Ramos

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

Abstract

Soldiers in the field often need to cross negative obstacles, such as rivers or canyons, to reach goals or safety. Military gap crossing involves on-site temporary bridges construction. However, this procedure is conducted with dangerous, time and labor intensive operations, and specialized machinery. We envision a scalable robotic solution inspired by advancements in force-controlled and Cable-Driven Parallel Robots (CDPRs); this solution can address the challenges inherent in this transportation problem, achieving fast, efficient, and safe deployment and field operations. We introduce the embodied vision in Co3MaNDR, a solution to the military gap crossing problem, a distributed robot consisting of several modules simultaneously pulling on a central payload, controlling the cables' tensions to achieve complex objectives, such as precise trajectory tracking or force amplification. Hardware experiments demonstrate teleoperation of a payload, trajectory following, and the sensing and amplification of operators' applied physical forces during slow operations. An operator was shown to manipulate a 27.2 kg (60 lb) payload with an average force utilization of 14.5% of its weight. Results indicate that the system can be scaled up to heavier payloads without compromising performance or introducing superfluous complexity. This research lays a foundation to expand CDPR technology to uncoordinated and unstable mobile platforms in unknown environments.

Original languageEnglish (US)
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4503-4510
Number of pages8
ISBN (Electronic)9798350377705
DOIs
StatePublished - 2024
Event2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates
Duration: Oct 14 2024Oct 18 2024

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period10/14/2410/18/24

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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