How can we compare robots that are expected to move flexibly, safely, and energy-efficiently in dynamic environments? A new international study titled A Benchmarking Framework for Embodied Neuromorphic Agents, published in the prestigious journal Nature Machine Intelligence, offers an answer.
Researchers from institutions in Czechia, Italy, Denmark, Switzerland, the United Kingdom, the United States, Pakistan, and Singapore present a novel framework for evaluating robotic systems that combine neuromorphic computation—inspired by the functioning of the nervous system—with the physical body of the robot and its interaction with the environment. The first author of the study is Assistant Professor Dr. Giulia D’Angelo, and a co-author is Associate Professor Matěj Hoffmann.
More information about the study is available on the Faculty website.