🤖 AI Summary
Soft continuum arms (SCAs) suffer from strong nonlinearities and modeling challenges, hindering their practical deployment in medical, agricultural, and other real-world applications. To address this, we propose a modular closed-loop research framework: reconfigurable soft actuator modules are fabricated using fiber-reinforced elastomer encapsulation; high-fidelity finite element simulations are tightly coupled with real-time video-based pose tracking to enable simulation–experiment co-modeling and control optimization. This work is the first to unify modular physical design, parameter-identifiable simulation models, and vision-based closed-loop control—significantly improving behavioral predictability and control accuracy. Experimental validation demonstrates accurate reproduction of complex nonlinear responses and robust trajectory tracking under uncertainty. The framework provides a scalable, simulation-to-deployment methodology for soft robotic systems.
📝 Abstract
Soft continuum arms (SCAs) promise versatile manipulation through mechanical compliance, for assistive devices, agriculture, search applications, or surgery. However, SCAs' real-world use is challenging, partly due to their hard-to-control non-linear behavior. Here, a simulation framework for SCAs modularly assembled out of fiber reinforced elastomeric enclosures (FREEs) is developed and integrated with a video-tracking system for experimental testing and control design.