Problem
Research questions and friction points this paper is trying to address.
Continuum Robot
Modular Stiffness
Self Pose Estimation
Proprioceptive Sensing
Tendon-Driven Continuum Robot with Modular Stiffness and In-Situ Self Pose Estimation
🤖 AI Summary
本文提出一种自包含模块化连续体机器人平台，通过可互换的连续关节和基于磁传感器与学习框架的本体感知技术解决现有系统任务特定性和依赖外部传感的问题。
📝 Abstract
Continuum robots enable smooth shape morphing and safe interaction in confined environments. However, most existing systems are task-specific and depend on external sensing infrastructure, limiting their adaptability and real-world deployment. This paper presents a self-contained modular continuum robotic platform that combines mechanical reconfigurability with onboard pose estimation. The robot is constructed from interchangeable continuum joints with analytically precomputed stiffness, allowing rapid assembly and direct programming of the robot shape. Proprioceptive sensing is achieved using magnetic sensors and a modular learning-based framework, where a single model is trained per joint and reused across configurations. The system is experimentally validated in real world, demonstrating self-sensing capabilities and adaptation without external tracking.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Modular Stiffness
In-Situ Self Pose Estimation
Continuum Robot
Proprioceptive Sensing
Magnetic Sensors
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