The Reconfigurable Aerial Robotic Chain: Shape and Motion Planning

TL;DR

This paper introduces a reconfigurable aerial robotic chain capable of shape-shifting and complex motion planning, enabling navigation through narrow and obstacle-rich environments with efficient collision avoidance.

Contribution

It proposes a novel motion planning approach that leverages the system's reconfigurability and a library of configurations for collision-free navigation.

Findings

Successful simulation of navigation through narrow and obstacle-filled environments

Efficient collision-free path planning using reconfigurable configurations

Demonstrated adaptability of the system for various environmental constraints

Abstract

This paper presents the design concept, modeling and motion planning solution for the aerial robotic chain. This design represents a configurable robotic system of systems, consisting of multi-linked micro aerial vehicles that simultaneously presents the ability to cross narrow sections, morph its shape, ferry significant payloads, offer the potential of distributed sensing and processing, and allow system extendability. We contribute an approach to address the motion planning problem of such a connected robotic system of systems, making full use of its reconfigurable nature, to find collision free paths in a fast manner despite the increased number of degrees of freedom. The presented approach exploits a library of aerial robotic chain configurations, optimized either for cross-section size or sensor coverage, alongside a probabilistic strategy to sample random shape configurations that may be needed to facilitate continued collision-free navigation. Evaluation studies in simulation involve traversal of constrained and obstacle-laden environments, having narrow corridors and cross sections.