Towards intrinsic force sensing and control in parallel soft robots
Lukas Lindenroth, Danail Stoyanov, Kawal Rhode, Hongbin Liu

TL;DR
This paper presents a novel method for intrinsic force sensing and control in hydraulic parallel soft robots, enabling accurate force estimation and control without external sensors across static and dynamic conditions.
Contribution
It introduces a comprehensive algorithm for intrinsic force sensing based on fluid volume and pressure, validated on a hydraulic soft robot, advancing force control in fluid-driven soft robots.
Findings
Force estimation accuracy of 0.56 ± 0.66N within 0-6N range
Effective force control in single and parallel soft robots
Capability to control directional contact forces
Abstract
With soft robotics being increasingly employed in settings demanding high and controlled contact forces, recent research has demonstrated the use of soft robots to estimate or intrinsically sense forces without requiring external sensing mechanisms. Whilst this has mainly been shown in tendon-based continuum manipulators or deformable robots comprising of push-pull rod actuation, fluid drives still pose great challenges due to high actuation variability and nonlinear mechanical system responses. In this work we investigate the capabilities of a hydraulic, parallel soft robot to intrinsically sense and subsequently control contact forces. A comprehensive algorithm is derived for static, quasi-static and dynamic force sensing which relies on fluid volume and pressure information of the system. The algorithm is validated for a single degree-of-freedom soft fluidic actuator. Results…
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Taxonomy
TopicsSoft Robotics and Applications · Robot Manipulation and Learning · Advanced Sensor and Energy Harvesting Materials
