Learning & Understanding Human-Centered Robotic Manipulation Strategies
Human-robot collaboration is one of the most promising applications of autonomous robots. For this, robots need to interact with humans in a meaningful, flexible and adaptable manner, especially when new situations are faced. Currently, the new emerging technologies such as virtual reality and wearable devices allow capturing natural human movements of multiple users. Then, the next generation of learning methods should take advantage of and bootstrap the learning of new activities by adapting to the massive processing of information obtained from these enhanced sensors.
The goal of this PhD project is to develop semantic-based learning algorithms able to cope with a large amount of data generated from multi-modal/multi-level sensors and react to dynamically changing environments in real-time to produce robots with enhanced autonomy levels and manipulation capabilities. The massive collection of data will also contain information about the different styles of human demonstrations which will help in developing a more human-centred control solution.
- Chalmers AI Research Centre (Research Institute, Sweden)
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Assistant professor, Electrical Engineering
Dr. Karinne Ramirez-Amaro is an Assistant professor in the research group Mechatronics since September 2019. Previously, she was a post-doctoral researcher at the Chair for Cognitive Systems (ICS) at...
Associate Professor, Electrical engineering
Yiannis Karayiannidis (Docent 2017, Phd Eng. 2009, Diploma Eng. 2004) is Senior Researcher (equivalent to Associate Professor/Research) with the Division of Systems and Control (SYSCON), Department...
Research group leader, Mechatronics, Electrical engineering
Jonas Sjöberg is Professor of Mechatronics and Head of the Mechatronic research group. Dr. Sjöberg’s research involves mechatronics, and mechatronic related fields, such as signal processing and...
- Chalmers AI Research Centre (CHAIR) (Centre, Sweden)