In episode 5 of Flexible Elements podcast we hear Chih-Han Yu talk about how he uses AI to make module robotics robuster to the complexities the real world

Dr. Chih-Han Yu

In this episode we hear Chih-Han Yu talk about how he uses AI to make module based solutions robuster to handle complex real world situations better. He works with strut based systems, where the struts are able to adjust there length, that mean that this system is reconfigurable in another way compared to systems that rearranges the modules among them self. This is an essential part of any future Self-Reconfiguring Modular robotic system as it allows fast, reliable, high resolution reconfiguration that use little energy.

Hear Chih-Han Yu talk about how he uses AI to make module robotics robuster to the complexities the real world

Chih-Han Yu has a Ph.D. degree in Computer Science from Harvard University. Today, he is working on a startup with colleagues from Harvard School of Engineering and Applied Sciences and MIT Media Lab. His undergraduate work in Computer Science was completed at National Taiwan University.

Show notes and links:

Chih-Han Yu http://www.people.fas.harvard.edu/~chyu/
– Chih_Han’s very interesting Thesis: Biologically-Inspired Control
for Self-Adaptive Multiagent Systems
Coordinating Collective Locomotion in an Amorphous Modular Robot
Chih-Han Yu y, Justin Werfely, Radhika Nagpal
http://www.eecs.harvard.edu/~chyu/icra10-yu.pdf
Collective Decision-Making in Multi-Agent Systems by Implicit
Leadership
Chih-Han Yu, Justin Werfel, Radhika Nagpal
http://www.eecs.harvard.edu/~chyu/aamas10-yu.pdf

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