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Research PaperResearchia:202608.28081

Tensegrity Continuum Robots Enable Task-Adaptive Morphologies for Cooperative Behaviors

Mahmud Hasan Saikot

Abstract

Robots that can change their morphologies and behaviors for different tasks and environments hold great promise for adaptable, multifunctional systems. Modular reconfigurable robots (MRRs) can achieve such functionalities by docking and rearranging individual units, but most rely on rigid modules that lack structural compliance, resulting in limited capabilities. Continuum robots offer compliance through flexible backbones, yet they cannot self-reconfigure into task-adaptive multi-robot configur...

Submitted: August 28, 2026Subjects: Robotics; Robotics

Description / Details

Robots that can change their morphologies and behaviors for different tasks and environments hold great promise for adaptable, multifunctional systems. Modular reconfigurable robots (MRRs) can achieve such functionalities by docking and rearranging individual units, but most rely on rigid modules that lack structural compliance, resulting in limited capabilities. Continuum robots offer compliance through flexible backbones, yet they cannot self-reconfigure into task-adaptive multi-robot configurations. Here, we introduce an MRR that unifies the advantages of both architectures by combining a tensegrity-based compliant body with claw-based connection mechanisms. Each robot can manipulate and locomote independently, and multiple robots can self-reconfigure into different morphologies (e.g., chains, loops, branches) for cooperative manipulation and locomotion. We demonstrate the robots' capability across diverse tasks and environments, including coordinated object manipulation and transport, multimodal locomotion, and loco-manipulation in real-world scenarios. These results lay a foundation for adaptable and multifunctional robotic collectives, with broad potential applications in manufacturing, space exploration, and search-and-rescue operations.


Source: arXiv:2608.27221v1 - http://arxiv.org/abs/2608.27221v1 PDF: https://arxiv.org/pdf/2608.27221v1 Original Link: http://arxiv.org/abs/2608.27221v1

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Submission Info
Date:
Aug 28, 2026
Topic:
Robotics
Area:
Robotics
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