Date of Award
Bachelor of Science
artificial intelligence, machine learning, robotics, soft robotics, algorithms
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.
Ji, Zongliang, "Exploring the Behavior Repertoire of a Wireless Vibrationally Actuated Tensegrity Robot" (2019). Honors Theses. 2307.