Designing Humanoids
How much should we learn from humans?
How much should we learn from humans?
22.11.2024 Nancy, France
Full-day workshop
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.
For more detailed info: Speakers & Talks
Prof. Dr. Gentiane Venture – Professor - Department of Mechanical Engineering – University of Tokyo
Prof. Dr. Tamim Asfour – Professor – director of High Performance Humanoid Technologies (H²T) - Karlsruhe Institute of Technology
H²T Team - Tamim Asfour (kit.edu)
Prof. Dr. Christian Becker-Asano – Professor - founder & director of Humanoid Lab - Stuttgart Media University
Dr. Sylvain Calinon – Senior Research Scientist & Lecturer – Idiap Research Institute and Ecole Polytechnique Fédérale de Lausanne (EPFL)
Dr. Daniel Leidner – Senior Research Scientist & Lead of Rollin' Justin-Team - German Aerospace Center (DLR)
Institute of Robotics and Mechatronics: Dr.-Ing. Daniel Leidner (dlr.de)
Prof. Dr. Dagmar Sternad – Professor - Departments of Biology, Electrical & Computer Engineering, and Physics - Northeastern University
Dagmar Sternad - Northeastern University College of Science
Dr. Meghan E. Huber – Assistant Professor - Department of Mechanical and Industrial Engineering - University of Massachusetts Amherst
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
Research Associate at the Munich Institute of Robotics and Machine Intelligence (MIRMI), TU Munich
simone.nertinger@tum.de