Designing Humanoids
How much should we learn from humans?
Integrating humanoid robots into everyday life is rapidly evolving, driven by advances in artificial intelligence, machine learning, and robotics. However, to be accepted, humanoids must keep up with human capabilities. Considering the overwhelming complexity of human ability in performing motions, social interactions, learning, and cognitive decision-making processes, the challenge of designing such sophisticated (social) entities is evident.
This workshop aims to bring together researchers, engineers, ethicists, and industry professionals to examine situations where human behaviors, such as movements, ethical considerations, learning, and cognitive processes are considered the gold standard for emulation. It explores when emulating humans is the optimal approach and when it may not be conducive, especially in scenarios where robots surpass human capabilities.
Prof. Dr. Gentiane Venture – Professor - Department of Mechanical Engineering – University of Tokyo
Dr. Marieke Bak - Assistant professor - Department of Ethics, Law and Humanities – Amsterdam University Medical Centers
Marieke Bak — Amsterdam UMC research portal
Prof. Dr. Dagmar Sternad – Professor - Departments of Biology, Electrical & Computer Engineering, and Physics - Northeastern University
Dagmar Sternad - Northeastern University College of Science
Prof. Dr. Stefan Kopp – Professor - head of the Social Cognitive Systems Group at the Faculty of Technology – University of Bielefeld
Stefan Kopp's homepage (uni-bielefeld.de)
Dr. Meghan Huber – Assistant professor – Department of Mechanical and Industrial Engineering - University of Massachusetts Amherst
Meghan Huber : College of Engineering : UMass Amherst
Prof. Dr. Tamim Asfour – Professor – Director of High Performance Humanoid Technologies (H²T) - Karlsruhe Institute of Technology
H²T Team - Tamim Asfour (kit.edu)
Dr. Maha Salem - User Experience (UX) Research Manager – Google, WhatsApp
Organizers
Simone Nertinger - Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM
Kim Kristin Peper - Munich Institute of Robotics and Machine Intelligence (MIRMI), TUM
Franziska Krebs – H²T Team - Franziska Krebs (kit.edu)
Neha Das - Lehrstuhl für Informationstechnische Regelung (tum.de) – TUM
Meghan Huber - Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst
Contact
Simone Nertinger
Research Associate at the Munich Institute of Robotics and Machine Intelligence, TU Munich
simone.nertinger@tum.de