Imitating human acceleration of a gyroscopic device

Spinning up a Power®ball—a hand-held gyroscopic toy or exerciser that exhibits rotor spin-up when applying appropriate torque to its casing—is a fairly easy task for a human but rather complex to perform with a robot. To accomplish the task of spinning up the rotor of the Power®ball with a robot, we measured the motion of a human and identified the conditions an individual uses for a successful spin-up. Several control approaches were applied to the device mainly using feedback information from the velocity counter and force/torque sensor to synchronize the torque exerted by the device and the motion of the robot. Best human imitation was achieved with two modified learning methods with highest rotor speeds in excess of 1480 rad/s, rating among top 100 world Power®ball players.

[1]  Jun Nakanishi,et al.  Learning rhythmic movements by demonstration using nonlinear oscillators , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  P. G. Heyda Roller ball dynamics revisited , 2002 .

[3]  Leon Zlajpah Robotic yo-yo: modelling and control strategies , 2006, Robotica.

[4]  S. Schaal,et al.  Robot juggling: implementation of memory-based learning , 1994, IEEE Control Systems.

[5]  S. Schaal,et al.  One-Handed Juggling: A Dynamical Approach to a Rhythmic Movement Task. , 1996, Journal of motor behavior.

[6]  Stefan Schaal,et al.  Open loop stable control strategies for robot juggling , 1993, [1993] Proceedings IEEE International Conference on Robotics and Automation.

[7]  Jun Nakanishi,et al.  Trajectory formation for imitation with nonlinear dynamical systems , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[8]  Stefan Schaal,et al.  Rapid synchronization and accurate phase-locking of rhythmic motor primitives , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[9]  Leon Zcaron,et al.  Robotic yo-yo: modelling and control strategies , 2006 .

[10]  Bojan Nemec,et al.  Meritev gibanja kolena z industrijskim robotom: avtomatska kompenzacija gravitacije prjemala , 2002 .

[11]  Jun Nakanishi,et al.  Learning Attractor Landscapes for Learning Motor Primitives , 2002, NIPS.

[12]  Oliver M. O’Reilly,et al.  On the Dynamics of the Dynabee , 2000 .

[13]  Jun Nakanishi,et al.  Movement imitation with nonlinear dynamical systems in humanoid robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).