Robots That Do Not Avoid Obstacles
This work addresses motion planning for autonomous robots, but it appears incremental as it builds on existing probabilistic methods with a fuzzy set approach.
The paper tackles the motion planning problem in robotics by proposing a solution using fuzzy set theory, and it compares this approach with recent developments in soft robot theory for future qualitative evaluation.
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.