22 March 2022
The dissertation devotes itself to employing markerless vision-based teleoperation using an end-to-end learning scheme for anthropomorphic hands and integrating it into a dexterous hand-arm teleoperation system. Extensive network evaluation and robot experiments show that the proposed teleoperation systems are accurate, efficient, and robust, and can contribute to solving complex tasks in multiple applications, e.g., space station, medical surgery, and daily life.
To participate in the PhD defense, please contact the Informatics Study Office via email.
The Zoom link will then be mailed to you shortly before the meeting.