Steering Flexible Linear Objects in Planar Environments by Two Robot Hands Using Euler's Elastica Solutions
Aharon Levin, Elon Rimon, Amir Shapiro
TL;DR
The paper addresses planar steering of flexible linear objects using two robot hands by leveraging Euler's elastica as the governing equilibrium geometry under an optimal-control framework. It derives closed-form elastica solutions parameterized by $(\lambda, k, s_0)$, establishes stability and non-self-intersection criteria, and develops a quadratic-arc Bezier approximation to enable fast collision checks. A 5-D configuration-space planning scheme (with equal endpoint tangents) combines these analytic tools with A* to route cables among sparsely spaced obstacles. The approach is demonstrated through MATLAB-based representative examples and supports extensions to gravity, 3-D, and contact-rich environments; experiments validate the elastica model against static cable-tie shapes with small errors, confirming the method's accuracy and practicality.
Abstract
The manipulation of flexible objects such as cables, wires and fresh food items by robot hands forms a special challenge in robot grasp mechanics. This paper considers the steering of flexible linear objects in planar environments by two robot hands. The flexible linear object, modeled as an elastic non-stretchable rod, is manipulated by varying the gripping endpoint positions while keeping equal endpoint tangents. The flexible linear object shape has a closed form solution in terms of the grasp endpoint positions and tangents, called Euler's elastica. This paper obtains the elastica solutions under the optimal control framework, then uses the elastica solutions to obtain closed-form criteria for non self-intersection, stability and obstacle avoidance of the flexible linear object. The new tools are incorporated into a planning scheme for steering flexible linear objects in planar environments populated by sparsely spaced obstacles. The scheme is fully implemented and demonstrated with detailed examples.
