Caterpillar-Inspired Spring-Based Compressive Continuum Robot for Bristle-based Exploration

πŸ“… 2026-03-10
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πŸ€– AI Summary
This work proposes a spring-based tendon-driven continuum robot inspired by the locomotion and sensing mechanisms of caterpillars to address the challenge of effective exploration in confined and irregularly shaped pipelines, where conventional rigid robots struggle. The design integrates a bioinspired compressible structure with artificial setae-based tactile sensors and is compatible with commercial robotic arms, enabling coupled bending and axial elongation/contraction. Position control is achieved through a constant-curvature kinematic model. Experimental results demonstrate an average positioning error of 4.32 mm, confirming the system’s capability for compliant, contact-based exploration and surface perception within constrained environments. The robot offers a compelling combination of compactness, compliance, and low cost, making it well-suited for delicate inspection tasks in complex spaces.

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πŸ“ Abstract
Exploration of confined spaces, such as pipelines and ducts, remains challenging for conventional rigid robots due to limited space, irregular geometry, and restricted access. Inspired by caterpillar locomotion and sensing, this paper presents a compact spring-based tendon-driven continuum robot that integrates with commercial robotic arms for confined-space inspection. The system combines a mechanically compliant continuum body with a tendon actuation module, enabling coupled bending and axial length change, and uses a constant-curvature kinematic model for positional control. Experiments show a mean position error of 4.32 mm under the proposed model and control pipeline. To extend the system from motion to inspection, we integrate an artificial bristle contact sensor and demonstrate surface perception and confined-space exploration through contact interactions. This compact and compliant design offers a cost-effective upgrade for commercial robots and promises effective exploration in challenging environments.
Problem

Research questions and friction points this paper is trying to address.

confined-space exploration
pipeline inspection
continuum robot
bristle-based sensing
caterpillar-inspired locomotion
Innovation

Methods, ideas, or system contributions that make the work stand out.

continuum robot
tendon-driven
bristle sensor
confined-space exploration
constant-curvature kinematics
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Zhixian Hu
Zhixian Hu
Purdue University
Yu She
Yu She
Assistant Professor, Purdue University
Robotic ManipulationMechanism DesignTactile SensingRobot Learning
J
Juan Wachs
Edwardson School of Industrial Engineering, Purdue University, West Lafayette, IN, USA