Emily Ayshford


Image courtesy: Brett Sayles
Sensors, Actuators June 24, 2022

Theory developed to help design systems that can interact more seamlessly

University of Chicago researchers have developed a framework that could help engineers design systems that can interact more seamlessly, resulting in better performance for multicomponent systems such as batteries or sensors.

By Emily Ayshford
AI & Machine Learning September 21, 2019

Algorithms developed to improve collaborative behavior in robots

Northwestern Engineering researchers have developed two new algorithms that can infer the topology of a network by observing the behavior of the individual nodes (such as neurons) in real time, which could help improve swarm robotics, which use collaborative manipulation to work together.

By Emily Ayshford