Passive vs. active control of rhythmic ball bouncing: the role of visual information.

The simple task of bouncing a ball on a racket offers a model system for studying how human actors exploit the physics and information of the environment to control their behavior. Previous work shows that people take advantage of a passively stable solution for ball bouncing but can also use perceptual information to actively stabilize bouncing. In this article, we investigate (a) active and passive contributions to the control of bouncing, (b) the visual information in the ball's trajectory, and (c) how it modulates the parameters of racket oscillation. We used a virtual ball bouncing apparatus to manipulate the coefficient of restitution alpha and gravitational acceleration g during steady-state bouncing (Experiment 1) and sudden transitions (Experiment 2) to dissociate informational variables. The results support a form of mixed control, based on the half-period of the ball's trajectory, in which racket oscillation is actively regulated on every cycle in order to keep the system in or near the passively stable region. The mixed control mode may be a general strategy for integrating passive stability with active stabilization in perception-action systems.

[1]  P. V. Wieringen,et al.  Limit cycle properties of rhythmic forearm movements. , 1996 .

[2]  G. Schöner.  Dynamic theory of action-perception patterns: the “moving room” paradigm , 1991, Biological Cybernetics.

[3]  S. Schaal,et al.  Bouncing a ball: tuning into dynamic stability. , 2001, Journal of experimental psychology. Human perception and performance.

[4]  P. Foo,et al.  Functional stabilization of unstable fixed points: human pole balancing using time-to-balance information. , 2000, Journal of experimental psychology. Human perception and performance.

[5]  E. Saltzman,et al.  Space-time behavior of single and bimanual rhythmical movements: data and limit cycle model. , 1987 .

[6]  Geoffrey P. Bingham,et al.  A Perceptually Driven Dynamical Model of Bimanual Rhythmic Movement (and Phase Perception) , 2004 .

[7]  Martin Faint,et al.  Does the brain model newton’s laws? , 2001 .

[8]  Russ Tedrake,et al.  Efficient Bipedal Robots Based on Passive-Dynamic Walkers , 2005, Science.

[9]  Dagmar Sternad,et al.  Passive stability and active control in a rhythmic task. , 2007, Journal of neurophysiology.

[10]  D Mottet,et al.  Stability and phase locking in human soccer juggling , 2004, Neuroscience Letters.

[11]  H. Sebastian Seung,et al.  Actuating a simple 3D passive dynamic walker , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[12]  Benoît G. Bardy,et al.  Action-perception patterns in virtual ball bouncing: Combating system latency and tracking functional validity , 2008, Journal of Neuroscience Methods.

[13]  E. Reed.  The Ecological Approach to Visual Perception , 1989 .

[14]  Daniel E. Koditschek,et al.  Planning and Control of Robotic Juggling and Catching Tasks , 1994, Int. J. Robotics Res..

[15]  D. Sternad,et al.  Stability and variability: indicators for passive stability and active control in a rhythmic task. , 2008, Journal of neurophysiology.

[16]  Dagmar Sternad,et al.  The dialogue between data and model: passive stability and relaxation behavior in a ball bouncing task , 2004 .

[17]  David N. Lee,et al.  A Theory of Visual Control of Braking Based on Information about Time-to-Collision , 1976, Perception.

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

[19]  D. Sternad,et al.  Actively tracking ‘passive’ stability in a ball bouncing task , 2003, Brain Research.

[20]  B. Kay,et al.  Infant bouncing: the assembly and tuning of action systems. , 1993, Child development.

[21]  Benoît G. Bardy,et al.  Learning new perception–action solutions in virtual ball bouncing , 2007, Experimental Brain Research.

[22]  Bruce A. Kay,et al.  Coupling of posture and gait: mode locking and parametric excitation , 2001, Biological Cybernetics.

[23]  R J Bootsma,et al.  Visual information about time-to-collision between two objects. , 1993, Journal of experimental psychology. Human perception and performance.

[24]  W. H. Warren.  The dynamics of perception and action. , 2006, Psychological review.