University of Connecticut University of UC Title Fallback Connecticut

Research Areas

 

Networked Robotic Systems

irobot

Networked robotic systems offer several advantages such as: i) task sharing and coordination, ii) reduced cost in design and deployment of individual entities, iii) robustness to failures of a few individuals, and iv) distributed operation for wide area coverage. These complex systems are engineered to achieve a macroscopic (i.e., global) objective by requiring minimal operational complexity at the microscopic (i.e., individual entity) level. Biological Science offers several examples of Systems of Systems (e.g., shoal of fish, flock of birds, and ant colonies) that exhibit emergent group behavior. Thus, a key challenge in engineering sciences is to learn the principles of emergent behavior from these biological systems, and to apply them for control of human-engineered systems, that could then be used for different distributed operations (e.g., cooperative search, rescue, and target-tracking). The objective is to generate simple rules, which govern the operational behavior of individual entities and their interactions, to yield the desired global performance. Click here to view videos of some real-world experiments.

 

 

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