Prof. Luis Paulo Reis
University of Minho
Director of Artificial Intelligence and Computer Science Laboratory (LIACC)
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.
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).
Prof. Jaeheung Park
Dynamic Robotic Systems Lab,
Seoul National University,
Title of presentation: To be announced
Jaeheung Park is an Associate Professor in the Department of Transdisciplinary Studies at Seoul National University, South Korea, since 2009. Prior to joining Seoul National University, he shortly worked at Hansen Medical Inc, a medical robotics company. He received the PhD degree from Stanford University, and the B.S. and M.S. degrees from Seoul National University. His research group is currently conducting many national projects in the topics of humanoid robots, rehabilitation/medical robots, and autonomous vehicle. He was a team leader of TEAM SNU for DRC Finals 2015 (DARPA Robotics Challenge Finals), which was a robotics competition for disaster response. In 2016, His team won the award given by Minister of Science, ICT, and Future Planning, at Challenge Parade that was held by the Korean Government. He has participated in organizing many international robotics conferences such as IROS, HUMANOIDS, and HRI. He has also served as a Conference Editorial Board or as an Associate Editor for many international conferences. He currently serves as a co-chair of RAS Technical Committee on Whole-body Control.