Internal forces during object manipulation

Internal force is a set of contact forces that does not disturb object equilibrium. The elements of the internal force vector cancel each other and, hence, do not contribute to the resultant (manipulation) force acting on the object. The mathematical independence of the internal and manipulation forces allows for their independent (decoupled) control realized in robotic manipulators. To examine whether in humans internal force is coupled with the manipulation force and what grasping strategy the performers utilize, the subjects (n=6) were instructed to make cyclic arm movements with a customized handle. Six combinations of handle orientation and movement direction were tested. These involved: parallel manipulations (1) VV task (vertical orientation and vertical movement) and (2) HH task (horizontal orientation and horizontal movement); orthogonal manipulations (3) VH task (vertical orientation and horizontal movement) and (4) HV task (horizontal orientation and vertical movement); and diagonal manipulations (5) DV task (diagonal orientation and vertical movement) and (6) DH task (diagonal orientation and horizontal movement). Handle weight (from 3.8 to 13.8 N), and movement frequency (from 1 to 3 Hz) were systematically changed. The analysis was performed at the thumb-virtual finger level (VF, an imaginary finger that produces a wrench equal to the sum of wrenches produced by all the fingers). At this level, the forces of interest could be reduced to the internal force and internal moment. During the parallel manipulations, the internal (grip) force was coupled with the manipulation force (producing object acceleration) and the thumb-VF forces increased or decreased in phase: the thumb and VF worked in synchrony to grasp the object more strongly or more weakly. During the orthogonal manipulations, the thumb-VF forces changed out of phase: the plots of the internal force vs. object acceleration resembled an inverted letter V. The HV task was the only task where the relative phase (coupling) between the normal forces of the thumb and VF depended on oscillation frequency. During the diagonal manipulations, the coupling was different in the DV and DH tasks. A novel observation of substantial internal moments is described: the moments produced by the normal finger forces were counterbalanced by the moments produced by the tangential forces such that the resultant moments were close to zero. Implications of the findings for the notion of grasping synergies are discussed.

[1]  M. Latash,et al.  Prehension Synergies , 2004, Exercise and sport sciences reviews.

[2]  H. Kinoshita,et al.  Individual finger forces acting on a grasped object during shaking actions. , 1996, Ergonomics.

[3]  Tsuneo Yoshikawa,et al.  Manipulating and grasping forces in manipulation by multifingered robot hands , 1987, IEEE Trans. Robotics Autom..

[4]  J. F. Soechting,et al.  Modulation of grasping forces during object transport. , 2005, Journal of neurophysiology.

[5]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[6]  J. F. Soechting,et al.  Force synergies for multifingered grasping , 2000, Experimental Brain Research.

[7]  Hikaru Inooka,et al.  Force control of a robot hand emulating human's grasping motion , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[8]  M. Latash,et al.  Prehension synergies: trial-to-trial variability and hierarchical organization of stable performance , 2003, Experimental Brain Research.

[9]  Mark R. Cutkosky,et al.  Robotic grasping and fine manipulation , 1985 .

[10]  J. Flanagan,et al.  Modulation of grip force with load force during point-to-point arm movements , 2004, Experimental Brain Research.

[11]  John J. Craig,et al.  Articulated hands: Force control and kinematic issues , 1981 .

[12]  R S Johansson,et al.  Sensory input and control of grip. , 1998, Novartis Foundation symposium.

[13]  S. Gruber,et al.  Robot hands and the mechanics of manipulation , 1987, Proceedings of the IEEE.

[14]  Greg Jurrens,et al.  Fingertip Forces During Object Manipulation in Children with Hemiplegic Cerebral Palsy. II: Bilateral Coordination , 2000 .

[15]  J. Flanagan,et al.  Grip-load force coupling: a general control strategy for transporting objects. , 1994, Journal of experimental psychology. Human perception and performance.

[16]  Bernard Roth,et al.  Analysis of Multifingered Hands , 1986 .

[17]  R. Johansson,et al.  Hand Movements , 2001 .

[18]  Richard M. Murray,et al.  A Mathematical Introduction to Robotic Manipulation , 1994 .

[19]  M. Wiesendanger,et al.  Toward a physiological understanding of human dexterity. , 2001, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[20]  E. Batschelet Circular statistics in biology , 1981 .

[21]  Hikaru Inooka,et al.  Experimental study on human's grasping force , 1996, Proceedings 5th IEEE International Workshop on Robot and Human Communication. RO-MAN'96 TSUKUBA.

[22]  Thea Iberall,et al.  The nature of human prehension: Three dextrous hands in one , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[23]  R. Johansson,et al.  Programmed and triggered actions to rapid load changes during precision grip , 2004, Experimental Brain Research.

[24]  R. S. Johansson,et al.  Roles of glabrous skin receptors and sensorimotor memory in automatic control of precision grip when lifting rougher or more slippery objects , 2004, Experimental Brain Research.

[25]  Andrew M. Gordon,et al.  Coordination of fingertip forces in object transport during locomotion , 2003, Experimental Brain Research.

[26]  J. Flanagan,et al.  Effects of surface texture on weight perception when lifting objects with a precision grip , 1995, Perception & psychophysics.

[27]  Wen-Han Qian,et al.  A general dynamic force distribution algorithm for multifingered grasping , 2000, IEEE Trans. Syst. Man Cybern. Part B.

[28]  M. Latash,et al.  Age-related changes in finger coordination in static prehension tasks. , 2004, Journal of applied physiology.

[29]  M. Latash,et al.  Prehension synergies: Effects of object geometry and prescribed torques , 2002, Experimental Brain Research.

[30]  M. Arbib Coordinated control programs for movements of the hand , 1985 .

[31]  C. D. Mote,et al.  Force response of the fingertip pulp to repeated compression--effects of loading rate, loading angle and anthropometry. , 1997, Journal of biomechanics.

[32]  J. Flanagan,et al.  The stability of precision grip forces during cyclic arm movements with a hand-held load , 1990, Experimental Brain Research.

[33]  David J. Reinkensmeyer,et al.  Human control of a simple two-hand grasp , 1992, Biological Cybernetics.

[34]  M. Latash,et al.  The relation between posture and movement: A study of a simple synergy in a two-joint task , 1995 .

[35]  J. Flanagan,et al.  Coupling of grip force and load force during arm movements with grasped objects , 1993, Neuroscience Letters.

[36]  Vladimir M. Zatsiorsky,et al.  Force and torque production in static multifinger prehension: biomechanics and control. I. Biomechanics , 2002, Biological Cybernetics.

[37]  Mark L. Latash,et al.  A study of a bimanual synergy associated with holding an object , 1998 .

[38]  Suguru Arimoto,et al.  Principles of superposition for controlling pinch motions by means of robot fingers with soft tips , 2001, Robotica.

[39]  J. F. Soechting,et al.  Two virtual fingers in the control of the tripod grasp. , 2001, Journal of neurophysiology.

[40]  K. J. Cole,et al.  Wrist action affects precision grip force. , 1997, Journal of neurophysiology.