Head of The Machine Learning Department @ Carnegie Mellon University, EUA and Co-Founder of RoboCup


Manuela M. Veloso is the Herbert A. Simon University Professor and the Head of the Machine Learning Department in the School of Computer Science, at Carnegie Mellon University. Professor Veloso received a B.S. in Electrical Engineering, and an M.Sc. in Electrical and Computer Engineering from the Instituto Superior Técnico in Lisbon, Portugal, and an MA in Computer Science from Boston University. She receveid her Ph.D. in Computer Science in from Carnegie Mellon University.

Professor Veloso researches in the area of artificial intelligence, with focus on robotics and machine learning. Professor Veloso and her students have developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile service robots have autonomously navigated for more than 1,000km in university multi-floor buildings.

Professor Veloso is a Fellow of ACM, IEEE, AAAS, and AAAI. She is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. She is the recipient of multiple awards, including several best paper awards, the Einstein Chair of the Chinese Academy of Science, an NSF Career Award, and the Allen Newell Medal for Excellence in Research. Professor Veloso has graduated 34 PhD students and co-authored more than 300 journal and conference publications


How Humans and Artificial Intelligence will interact towards a better future

We hear about the promises and concerns of Artificial Intelligence, but do we understand what AI is and where we are in its development?

Mobile robots are AI devices of particular interest, capable of autonomously processing sensory information, making plans to fulfill tasks, and executing actions to navigate in our environments.
Professor Manuela Veloso has been pursuing AI research, education, and development for more than two decades, having achieved a variety of autonomous robots, including the CoBot robots. The CoBot robots interact and learn from humans and are capable of explaining their experience in natural language As learning robots and AI in general become increasingly part of our daily lives, a new Human-AI interaction is needed, one that enables Humans and AI to better understand their complementary needs and capabilities.


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