Litcius/Paper detail

A framework for soft mechanism driven robots

Cem Aygül, Can Güven, Sara Frunzi, Brian F. G. Katz, Markus P. Nemitz

2025Nature Communications37 citationsDOIOpen Access PDF

Abstract

Soft robots excel in safety and adaptability, yet their lack of structural integrity and dependency on open-curve movement paths restrict their dexterity. Conventional robots, albeit faster due to sturdy locomotion mechanisms, are typically less robust to physical impact. We introduce a multi-material design and printing framework that extends classical mechanism design to soft robotics, synergizing the strengths of soft and rigid materials while mitigating their respective limitations. Using a tool-changer equipped with multiple extruders, we blend thermoplastics of varying Shore hardness into monolithic systems. Our strategy emulates joint-like structures through biomimicry to achieve terrestrial trajectory control while inheriting the resilience of soft robots. We demonstrate the framework by 3D printing a legged soft robotic system, comparing different mechanism syntheses and material combinations, along with their resulting movement patterns and speeds. The integration of electronics and encoders provides reliable closed-loop control for the robot, enabling its operation across various terrains including sand, soil, and rock environments. This cost-effective framework offers an approach for creating 3D-printed soft robots employable in real-world environments.

Topics & Concepts

Mechanism (biology)Computer scienceRobotArtificial intelligencePhysicsQuantum mechanicsSoft Robotics and ApplicationsRobot Manipulation and LearningModular Robots and Swarm Intelligence