Self-Reconfigurable Soft-Rigid Mobile Agent With Variable Stiffness and Adaptive Morphology

Luiza Labazanova, Shuang Peng, Liuming Qiu, Hoi Yin Lee, Thrishantha Nanayakkara, David Navarro-Alarcon

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

In this letter, we propose a novel design of a hybrid mobile robot with controllable stiffness and deformable shape. Compared to conventional mobile agents, our system can switch between rigid and compliant phases by solidifying or melting Field's metal in its structure and, thus, alter the shape through the motion of its active components. In the soft state, the robot's main body can bend into circular arcs, which enables it to conform to surrounding curved objects. This variable geometry of the robot creates new motion modes which cannot be described by standard (i.e., fixed geometry) models. To this end, we develop a unified mathematical model that captures the differential kinematics of both rigid and soft states. An optimised control strategy is further proposed to select the most appropriate phase states and motion modes needed to reach a target pose-shape configuration. The performance of our new method is validated with numerical simulations and experiments conducted on a prototype system.

Original languageEnglish
Pages (from-to)1643-1650
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume8
Issue number3
DOIs
Publication statusPublished - 1 Mar 2023

Keywords

  • adaptive morphology
  • Hybrid soft-rigid robots
  • mobile agents
  • shape control
  • variable stiffness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Mechanical Engineering
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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