Human-machine interaction for collaborative robotic systems
Event details
| Date | 05.07.2016 |
| Hour | 11:00 › 12:00 |
| Speaker | Etienne Burdet Ph.D., Chair in Human Robotics, Imperial College London, United Kingdom |
| Location | |
| Category | Conferences - Seminars |
EPFL IMT Distinguished Lecture Series
Abstract: The development of efficient collaborative robotic systems for industry and health requires intuitive interfaces as well as an understanding of how humans interact with the environment. This talk will present some of the dedicated tools we have designed for the study of interaction control in humans, such as intelligent objects, dual robotic interfaces and robots compatible with magnetic resonance imaging (MRI). It will describe the insights we gained on the way humans adapt their control to the environment and to interacting partners, and how this knowledge can be used to design systems for robot-assisted neurorehabilitation and manipulation tasks training.
Bio: Dr. Etienne Burdet is Professor of Human Robotics in the Department of Bioengineering at The Imperial College of Science, Technology and Medicine. He is also a visiting Professor at Nanyang Technology in Singapore and at University College London. He holds an MSc in Mathematics (1990), an MSc in Physics (1991), and a PhD in Robotics (1996), all from ETH-Zürich. He was a postdoctoral fellow with TE Milner from McGill University, Canada, JE Colgate from Northwestern University, USA and Mitsuo Kawato of ATR in Japan. Professor Burdet’s group uses an integrative approach of neuroscience and robotics to: i) investigate human motor control, and ii) design efficient systems for training and rehabilitation, which are tested in clinical trials.
Abstract: The development of efficient collaborative robotic systems for industry and health requires intuitive interfaces as well as an understanding of how humans interact with the environment. This talk will present some of the dedicated tools we have designed for the study of interaction control in humans, such as intelligent objects, dual robotic interfaces and robots compatible with magnetic resonance imaging (MRI). It will describe the insights we gained on the way humans adapt their control to the environment and to interacting partners, and how this knowledge can be used to design systems for robot-assisted neurorehabilitation and manipulation tasks training.
Bio: Dr. Etienne Burdet is Professor of Human Robotics in the Department of Bioengineering at The Imperial College of Science, Technology and Medicine. He is also a visiting Professor at Nanyang Technology in Singapore and at University College London. He holds an MSc in Mathematics (1990), an MSc in Physics (1991), and a PhD in Robotics (1996), all from ETH-Zürich. He was a postdoctoral fellow with TE Milner from McGill University, Canada, JE Colgate from Northwestern University, USA and Mitsuo Kawato of ATR in Japan. Professor Burdet’s group uses an integrative approach of neuroscience and robotics to: i) investigate human motor control, and ii) design efficient systems for training and rehabilitation, which are tested in clinical trials.
Practical information
- Informed public
- Free