Robots That Do Not Avoid Obstacles

TL;DR

This paper introduces a fuzzy set theory-based approach to robot motion planning, contrasting it with probabilistic methods and surveying soft robot theories for future comparison.

Contribution

It presents a novel fuzzy set theory-based motion planning method and discusses its potential advantages over probabilistic approaches.

Findings

Fuzzy set theory offers an adaptive alternative for robot motion planning.

The paper surveys recent soft robot theories for future qualitative comparison.

Highlights the need for further empirical evaluation of fuzzy-based planning methods.

Abstract

The motion planning problem is a fundamental problem in robotics, so that every autonomous robot should be able to deal with it. A number of solutions have been proposed and a probabilistic one seems to be quite reasonable. However, here we propose a more adoptive solution that uses fuzzy set theory and we expose this solution next to a sort survey on the recent theory of soft robots, for a future qualitative comparison between the two.