Thursday, March 30, 2017
4-5 p.m., Avery 115
3:30 p.m., Avery 348
Michael A. GoodrichProfessor and Department Chair of Computer Science, Brigham Young University
Bio-inspired robot swarms are being designed and studied for many problems including search, pollution monitoring and control, and security. These swarms have some important advantages compared to traditional multi-agent AI approaches, including: resilience to robot attrition, robustness to communication failures, ability to explore multiple solutions to a single problem, and ability to appropriately (re)distribute resources when problems arise. These advantages come from how decentralized computation and sensing of the robots lead to robust emergent collective behaviors A fundamental challenge is figuring out how to allow humans to influence and manage swarms without imposing the human as a single point of failure, defeating the advantage of decentralized/emergent behaviors. In this talk, I will discuss our approach to enable a human to manage and influence swarms.
Mike Goodrich is a professor and the chair of the Computer Science Department at Brigham Young University. He's published a lot peer-reviewed papers in a lot of areas including human-robot interaction, decision theory, artificial intelligence, intelligent vehicles, and multi-agent systems; and he's been grateful to receive funding for students and research from ONR, ARL, NASA, NSF, DARPA, Honda, INL, and Nissan Motor Company. He helped create and organize the ACM/IEEE International Conference on Human-Robot Interaction, and the open-source Journal of Human-Robot Interaction. He likes to run to blow off steam and to enable him to eat high calorie peanut M&Ms.