Entanglement Definitions for Tethered Robots: Exploration and Analysis
Gianpietro Battocletti, Dimitris Boskos, Domagoj Tolić, Ivana Palunko, Bart De Schutter
TL;DR
This work addresses the risk of tether entanglement in tethered robots by proposing a broad, topology-informed set of entanglement definitions that are agnostic to tether type, environment, and dimension. It systematically reviews existing definitions, introduces new criteria (including Obstacle-free Convex Hull, Obstacle-free Linear Homotopy, Path Homotopy to Safe Set, Local Visibility Homotopy, and their relaxations), and analyzes their properties and interrelationships through formal topology tools such as homotopy and the homotopic Fréchet distance. The authors characterize the non-entangled reachable workspace under each definition, establish relationships among the definitions, and validate the approach qualitatively with 12 tethered-robot experts across diverse scenarios. The results indicate that the new definitions can cover broader situations while preserving safety guarantees, guiding the development of entanglement-aware motion planning and enabling safer, more robust tethered operations.
Abstract
In this article we consider the problem of tether entanglement for tethered mobile robots. One of the main risks of using a tethered connection between a mobile robot and an anchor point is that the tether may get entangled with the obstacles present in the environment or with itself. To avoid these situations, a non-entanglement constraint can be considered in the motion planning problem for tethered robots. This constraint is typically expressed as a set of specific tether configurations that must be avoided. However, the literature lacks a generally accepted definition of entanglement, with existing definitions being limited and partial in the sense that they only focus on specific instances of entanglement. In practice, this means that the existing definitions do not effectively cover all instances of tether entanglement. Our goal in this article is to bridge this gap and to provide new definitions of entanglement, which, together with the existing ones, can be effectively used to qualify the entanglement state of a tethered robot in diverse situations. The new definitions find application in motion planning for tethered robots, where they can be used to obtain more safe and robust entanglement-free trajectories.
