TY - GEN
T1 - Online intention recognition for computer-assisted teleoperation
AU - Stefanov, Nikolay
AU - Peer, Angelika
AU - Buss, Martin
PY - 2010
Y1 - 2010
N2 - An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulation task. It adopts a new advanced feature extraction algorithm which extracts features from haptic data and uses a Hidden Markov Model for stochastic classification. The method is implemented and validated on a real hardware setup. The obtained results reveal a robust and fast intention recognition.
AB - An online intention recognition algorithm for computer-assisted teleoperation is introduced. The algorithm is able to distinguish between phases of a typical object manipulation task. It adopts a new advanced feature extraction algorithm which extracts features from haptic data and uses a Hidden Markov Model for stochastic classification. The method is implemented and validated on a real hardware setup. The obtained results reveal a robust and fast intention recognition.
UR - http://www.scopus.com/inward/record.url?scp=77955816244&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2010.5509432
DO - 10.1109/ROBOT.2010.5509432
M3 - Conference contribution
AN - SCOPUS:77955816244
SN - 9781424450381
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 5334
EP - 5339
BT - 2010 IEEE International Conference on Robotics and Automation, ICRA 2010
T2 - 2010 IEEE International Conference on Robotics and Automation, ICRA 2010
Y2 - 3 May 2010 through 7 May 2010
ER -