Welcome to H²T
The Chair of High Performance Humanoid Technologies (H²T) at the Institute of Anthropomatics and Robotics researches and develops humanoid robot technologies and systems that perform versatile tasks in the real world in interaction with humans. The research focuses on the mechano-informatics of humanoid robots, visual and haptic grasping and mobile manipulation, learning from human observation, modeling and analysis of human movements, active vision and haptic touch, as well as software and hardware architectures and system integration.
The H²T is headed by Professor Tamim Asfour, who has led the Humanoid Robot Research Group at the Humanoids and Intelligence Systems Lab (HIS) since 2003 and has been developing the ARMAR family of humanoid robots since 1998.
With its real-world lab "Robotic Artificial Intelligence", KIT will make artificial intelligence tangible through bidirectional exchange between society and research.
"The exchange of knowledge and experience goes in both directions in a real-world lab: Research and application come together at eye level, so that we can then develop precisely the technologies that people really need and want", says Tamim Asfour about the project.
The KIT, funded by the Carl-Zeiss Foundation, is researching a new generation of personalized humanoid robots. These helpers are to take over everyday household tasks in order to ensure the independence of elderly people. In addition, exoscellets are being developed that support the personal mobility of senior citizens and enable a targeted training of their motor and cognitive abilities.
For further information, please refer to the public press release of KIT and to the other projects supported by the Carl-Zeiss Foundation.
On October 8, 2020, Dr. Klein from the Baden-Württemberg Ministry of Economics, Labor and Housing visited the Chair of High Performance Humanoid Technologies (H²T). Together with Dr. Stefan Suwelack, Managing Director of Renumics GmbH, the progress of the joint MeshAI project was discussed, which investigates the automatic processing of CAD models using machine learning methods.
In the Science Camp Robotics, interested students learn how to program and control a robot themselves. Due to current restrictions, this year's Science Camp had to take place online. More information is available on Twitter and from the ZML.
You can find further news about our institute in our archive.