2021 Virtual Undergraduate Research Symposium
2021 Virtual Undergraduate Research Symposium
ROBOTICS AND NATURE: FROM EVOLUTIONARY COMPUTATION TO INTELLIGENT ROBOTS
ROBOTICS AND NATURE: FROM EVOLUTIONARY COMPUTATION TO INTELLIGENT ROBOTS
PROJECT NUMBER: 39 | AUTHOR: Hayden Sather, Computer Science
MENTOR: Hao Zhang, Computer Science
ABSTRACT
This project focused on developing robot demonstrations of perception, reasoning, and acting capabilities that are inspired by nature in order to advance robotics education and personalized learning. There exist many unsolved challenges in robotics that have been amazingly solved in nature during biological evolution, from basic motor skills to advanced metacognition. This project explores nature-inspired solutions to robotics challenges, as well as the relationship of nature and robotics technology for personalized education. This demonstration consists of creating a multi-robot arial-ground system as well as a testbed where they interact with each other.
PRESENTATION
AUTHOR BIOGRAPHY
Hayden is a 5th-year Computer Science student. He is enrolled in the Master’s program for Computer Science and the Master’s program for Data Science. His research interests include robotics, artificial intelligence, and machine learning.
Interesting work Hayden! In your tests so far, have you noticed a practical upper-bound on the number of robots (ground and/or aerial) that you can operate simultaneously in this testbed?
Thank you, Roger,
Yes, the physical testbed that we work with currently is limited by the size of the the camera setup. We can currently fit about 15 aerial and ground robots in our setup. It would be easy to scale, as long as the frame is larger.