Date of Award

6-2019

Document Type

Open Access

Degree Name

Bachelor of Science

Department

Computer Science

First Advisor

John Rieffel

Keywords

artificial intelligence, machine learning, robotics, soft robotics, algorithms

Abstract

Soft robotics is an emerging field of research due to its potential to explore and operate in unstructured, rugged, and dynamic environments. However, the properties that make soft robots compelling also make them difficult to robustly control. Here at Union, we developed the world’s first wireless soft tensegrity robot. The goal of my thesis is to explore effective and efficient methods to explore the diverse behavior our tensegrity robot. We will achieve that by applying state-of-art machine learning technique and a novelty search algorithm.

Comments

Thanks for my advisor John and all the lab members help me with my thesis.

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