Collocated Shape Regulation for Soft Robots

📅 2026-09-23
📈 Citations: 0
✨ Influential: 0
📄 PDF
🤖 AI Summary
本文提出了一种针对连续体软机器人的共位形状控制框架,通过仅调控被驱动坐标来实现整个机器人形状的稳定收敛,无需完整动态模型。
📝 Abstract
Controlling the shape of a continuum soft robot typically requires an accurate dynamic model and actuation of all degrees of freedom. We show that regulating only the actuated coordinates, through collocated shape control, achieves provably stable convergence of those coordinates and, under an explicit compatibility condition, of the entire robot shape. While collocated control is a cornerstone of high-performance motion control in rigid robotics, extending this formulation to continuum soft robots has remained challenging due to the complexity of their dynamics. We present the first general framework for collocated control of continuum soft robots and derive a unified family of controllers, including PD, PID, PsatID, and their counterparts with compensation and cancellation components. The framework unifies existing approaches while introducing new controller designs. In particular, we develop three classes of PD and PID like regulators with local, semi-global, and global stability guarantees, and provide rigorous convergence analyses for each. Extensive experimental validation demonstrates the effectiveness of the proposed methods across different model discretizations and controller parameters. The resulting framework provides practical design guidelines for selecting and implementing controllers with known stability guarantees, without requiring a complete dynamic model of the robot
Problem

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

Soft Robots
Shape Control
Collocated Control
Stability Convergence
Innovation

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

collocated shape control
continuum soft robots
stability guarantees
controller design
dynamic model
🔎 Similar Papers
2024-01-24International Conference on Learning RepresentationsCitations: 3
💼 Related Jobs
No related jobs found.
P
Pietro Pustina
Department of Computer, Control and Management Engineering, Sapienza University of Rome, Rome, Italy
E
Ebrahim Shahabi
Department of Cognitive Robotics, Delft University of Technology, 2628 CN Delft, The Netherlands
D
Daniel Feliu-Talegon
Department of Cognitive Robotics, Delft University of Technology, 2628 CN Delft, The Netherlands
Alessandro De Luca
Alessandro De Luca
Department of Engineering, University of Campania L. Vanvitelli
Structural Health MonitoringCompositeFE analysisStructural BehaviourMechanical Engineering
Cosimo Della Santina
Cosimo Della Santina
Delft University of Technology (TU Delft), German Aerospace Center (DLR)
RoboticsNonlinear ControlNonlinear DynamicsMachine LearningStuff