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.


Gentiane Venture | Department of Mechanical Engineering [MECHANICAL A], University of Tokyo (u-tokyo.ac.jp)

 

Marieke Bak — Amsterdam UMC research portal


Dagmar Sternad - Northeastern University College of Science 

 

Stefan Kopp's homepage (uni-bielefeld.de) 

 

Meghan Huber : College of Engineering : UMass Amherst 


H²T Team - Tamim Asfour (kit.edu) 

 

About (mahasalem.net)


Organizers

Contact

Simone Nertinger

Research Associate at the Munich Institute of Robotics and Machine Intelligence, TU Munich

simone.nertinger@tum.de