Prof. Luis Paulo Reis

University of Minho
Director of Artificial Intelligence and Computer Science Laboratory (LIACC)
Personal webpage

Title of presentation: High-Level Learning, Interaction and Cooperation for Humanoid Robots

Abstract: In the future, humans and robots will have to work together in complex environments, to solve difficult problems and perform hard tasks, as a team. Thus, methodologies to enable robots to learn, interact and cooperate with their human counterparts are needed, in order to allow this joint work. This talk will be focused on methodologies developed for creating multi-robot and human-robot heterogeneous teams with emphasis on the cooperation, interaction and learning methodologies developed on our projects: FC Portugal and HearBo. FC Portugal project developed methodologies for creating heterogeneous robotic soccer teams capable of following human/robot coach high-level advice using concepts such as strategy, tactics, formations and setplays. The project also developed methodologies for learning humanoid robot complex skills, using simulation, such as walking, kicking, getting up or passing/receiving a ball, although the methodologies developed may also be used for other types of skills and robots. The project enabled our research groups to win 4 World and 10 European robotic soccer championships of distinct leagues/competitions. At HearBo, together with Honda-RI Japan we developed human robot learning and interaction methodologies for humanoid robots that dance to the beat. The talk will be illustrated with videos from both projects.

Brief Bio:

Luis Paulo Reis is an Associate Professor at the University of Minho in Portugal and Director of LIACC – Artificial Intelligence and Computer Science Laboratory where he also coordinates the Human-Machine Intelligent Cooperation Research Group. He is an IEEE Senior Member and vice-president of both the Portuguese Society for Robotics and the Portuguese Association for Artificial Intelligence. During the last 25 years he has lectured courses, at the University, on Artificial Intelligence, Intelligent Robotics, Multi-Agent Systems, Simulation and Modelling, Machine Learning, Educational/Serious Games and Computer Programming. He was principal investigator of more than 10 research projects in those areas. He won more than 50 scientific awards including wining more than 15 RoboCup international competitions. He supervised 17 PhD and 95 MSc theses to completion. He organized more than 50 scientific events and belonged to the Program Committee of more than 250 scientific events. He is the author of more than 300 publications in international conferences and journals (indexed at SCOPUS or ISI Web of Knowledge).