Overview of Human Adaptive Mechatronics and Assist-control to Enhance Human's Proficiency

Human Adaptive Mechatronics(HAM) is a new concept which was proposed in our university's research project sponsored by Japanese Ministry of Education, Sports, Culture, Science and Technology(MEXT), and is defined as ``intelligent mechanical systems that adapt themselves to the user's skill under various environments, assist to improve the user's skill, and assist the human-machine system to achieve best performance''. In this paper, the concept and key-items of HAM are mentioned. And the control strategy to realize a HAM human-machine system is explained in the case of physical-interface system, i.e. haptic system. The proposed assist-control of a force-feedback type haptic system includes online estimation of a operator's control characteristics, and a `force assist' function implemented as a change in the support ratio according to the identified skill level. We developed a HAM-haptic device test system, executed evaluation experiments with this apparatus, and analyzed the measured data. It was confirmed that the operator's skill could be estimated and that operator's performance was enhanced by the assist-control.

[1]  A. Tustin,et al.  The nature of the operator's response in manual control, and its implications for controller design , 1947 .

[2]  D. Kleinman,et al.  An optimal control model of human response part II: Prediction of human performance in a complex task , 1970 .

[3]  Ilana Segall,et al.  Identification of a modified optimal control model for the human operator , 1976, Autom..

[4]  D. Wolpert,et al.  Is the cerebellum a smith predictor? , 1993, Journal of motor behavior.

[5]  Yangsheng Xu,et al.  Human control strategy: abstraction, verification, and replication , 1997 .

[6]  Mitsuo Kawato,et al.  Internal models for motor control and trajectory planning , 1999, Current Opinion in Neurobiology.

[7]  Fumihito Arai,et al.  Operational assistance for straight-line operation of rough terrain crane , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[8]  Katsuhisa Furuta,et al.  Control of pendulum: from Super Mechano-System to Human Adaptive Mechatronics , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[9]  K. Furuta,et al.  Skill evaluation based on state-transition model for human adaptive mechatronics (HAM) , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[10]  K. Furuta,et al.  Human adaptive mechatronics (HAM) for haptic system , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[11]  Nak Young Chong,et al.  RF Power Detector for Location Sensing , 2005 .

[12]  K. Uosaki,et al.  Evolution Strategies Based Particle Filters for Simultaneous State and Parameter Estimation of Nonlinear Stochastic Models , 2005 .