Realizing Modular Self-reconfiguring Soft Robots through Inter-module Communication and Model Checking

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

Abstract

This paper presents the design and experimental validation of a modular self-reconfiguring soft robotic system that leverages inter-module communication and a transition system based abstraction with model checking to enable safe autonomous reconfiguration planning. The system is built from modular pneumatic actuators connected via electromechanical locking connectors and PAC (Power, Air, Communication) connectors, which enable both pneumatic and electrical inter-module connections. A configuration matrix, built from digital pin signals, tracks the state of connected modules for real-time module identification. We construct an algorithm leveraging transition systems that creates an abstraction of the system that enables the computation of the set of reachable reconfigurations. Atomic propositions are characterized by the logical states ascertained from the PAC connectors. Linear time properties are used to describe propositions associated with goal states and are used for model checking and safety verification. Experimental results demonstrate successful reconfiguration of a small-scale modular system, offering insights for future autonomous planning and control of modular soft robots.

Original languageEnglish (US)
Title of host publication2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331520205
DOIs
StatePublished - 2025
Event8th IEEE International Conference on Soft Robotics, RoboSoft 2025 - Lausanne, Switzerland
Duration: Apr 22 2025Apr 26 2025

Publication series

Name2025 IEEE 8th International Conference on Soft Robotics, RoboSoft 2025

Conference

Conference8th IEEE International Conference on Soft Robotics, RoboSoft 2025
Country/TerritorySwitzerland
CityLausanne
Period4/22/254/26/25

All Science Journal Classification (ASJC) codes

  • Materials Science (miscellaneous)
  • Control and Optimization
  • Modeling and Simulation
  • Artificial Intelligence
  • Instrumentation
  • Computer Vision and Pattern Recognition

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