Manipulation with Stability Guarantees: Linear Deformable Objects with Non-negligible Physical Response Grasped at Multiple Location

📅 2026-09-22
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
本文针对具有不可忽略物理响应的线性可变形物体,提出一种闭环控制架构,通过在多个固定点调节力和力矩来实现形状调节。
📝 Abstract
Most research on the manipulation of deformable objects focuses on lightweight systems with negligible mechanical response, effectively restricting attention to quasi-static regimes. This assumption excludes a broad class of practically relevant objects, such as hoses, pipes, and wiring harnesses, whose dynamics cannot be ignored during manipulation. In this work, we address this limitation by introducing a closed-loop control architecture that explicitly accounts for object dynamics and recasts manipulation as a shape-regulation problem. Control is achieved by modulating forces and torques applied at multiple fixed points along the object. This approach builds on three methodological contributions: a fully dynamic model of linear deformable objects based on discrete strain parameterizations; an extension of the notion of actuation coordinates to SE(3), yielding a structured and inherently underactuated control architecture; and nonlinear feedback strategies providing explicit conditions for steady-state convergence to desired configurations. Extensive simulations on representative manipulation tasks demonstrate the performance gains enabled by the proposed modelbased formulation. We finally validate the approach experimentally through a real-time closed-loop implementation with online shape estimation, confirming its practical feasibility and effectiveness
Problem

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

deformable objects
dynamics
manipulation
closed-loop control
shape regulation
Innovation

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

closed-loop control
dynamic model
shape regulation
nonlinear feedback
underactuated control
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D
Daniel Feliu-Talegon
Department of Cognitive Robotics, Delft University of Technology, 2628 CN Delft, The Netherlands
Cosimo Della Santina
Cosimo Della Santina
Delft University of Technology (TU Delft), German Aerospace Center (DLR)
RoboticsNonlinear ControlNonlinear DynamicsMachine LearningStuff