ABSTRACT
The synthesis of human hand motion and grasping of arbitrary shaped objects is a very complex problem. Therefore high-level control is needed to perform these actions. In order to satisfy the kinematic and physical constraints associated with the human hand and to reduce the enormous search space associated with the problem of grasping objects, a knowledge based approach is used. A three-phased scheme is presented which incorporates the role of the hand, the object, the environment and the animator. The implementation of a hand simulation system HANDS is discussed.
- Armstrong 86.W.W. Armstrong, M. Green and R. Lake, Near. real-time control of human figure models, Proceedings of Graphics Interface 1986 Google ScholarDigital Library
- Armstrong 78.T.J. Axmstrong and D.B. Chaff'm, An investigation of the relationship between displacements of the finger and wrist joints and the extrinsic fmger flexor tendons, iomechanics, vol. 11, pp 119-128, Pergamon Press Ltd., 1978 (great-Britrain)Google Scholar
- Badler 87.N.I. Badler, K.H. Mmmochehri and G. Waiters, Articulated figure positioning by multiple constraints, IEEE Computer Graphics and Animation 7(6), 1987 Google ScholarDigital Library
- Baraff 89.D. Baraff, Analytical Methos for Dynamic Simulation of Non-penetrating Rigid Bodies, Computer Graphics, Vol. 23, No. 3, july 1989 Google ScholarDigital Library
- Barzell88.R. Barzel and A.H. Barr, A Modeling system based on dynamic constraints, Proc. Siggraph, vo122., No. 4, August 1988 Google ScholarDigital Library
- Brooks 83.R.A. Brooks, Planning Collision Free Motions for Pick-and-Place Operations, The international Journal of Robotics Research, Vol.2, No. 4, Winter 1983Google Scholar
- Denavit 55.J. Denavit and R. Hartenberg, A kinematic Notation for Lower Pair Mechanisms Based on Matrices, I. App. Mech., Vol. 77, pp 215-221, 1955Google Scholar
- Fisher 86.S.S. Fisher, M. McGreevy, J. Humphries and W. Robinett, Virtual environment display system, Proc 1986 ACM Workshop on Interactive Graphics, October 23-24, Chapel Hill, North Carolina. Google ScholarDigital Library
- Fu 87.K.S. Fu, R.C. Gonzalez and C.S.G. Lee, Robotics: Control, Sensing, Vision and intelligence, McGraw- Hill Book Company, 1987 Google ScholarDigital Library
- Gilbert 88.E. Gilbert, D.W. Johnson and S. Sathiya Kee~thi, A fast Procedure for Computing the Distance Between Complex Objects in Three-Dimensional Space, IEEE Journal of Robotics and Automation, Vol. 4, No. 2, april 1988Google Scholar
- Girard 87.M. Girard, Interactive design of 3D Computer Animated Legged Animal Motion. Computer Graphics and Applications june 1987. Google ScholarDigital Library
- Girard 90.M. Girard, Constrained optimization of articulated animal movement in computer animation, Making them move (mechanics, control, and animation of articulated figures), Eds: Badler, Barsky and Zeltzer, Morgan Kaufmann Publishers, 1990 Google ScholarDigital Library
- Gourret 89.J.P. Gourret, N.M. Thalmann, D. Thalmann, Simulation of object and human skin deformations in a grasping task., ACM Siggraph Proe, e~dings 1989. Google ScholarDigital Library
- Iberall 88.T. lberail, J. Jackson, L. Labbe and R. Zampang, Knowledge-based prehension: Capturing Human Dexterity, Proceedings of the IEEE on Robotics and Automation 1988. pp 82-87.Google Scholar
- Isaacs 87.P. Isaacs and R. Cohen, Controlling dynamic simulation with kinematic constraints, behavior functions and inverse dynamics, Computer Graphics, ACM Siggraph Proceedings 1987 Google ScholarDigital Library
- Iwata 90.H. iwata, Artificial Reality with force-feedback: development of desk-top virtual space with compact master manipulator, Computer Graphics, ACM Siggraph Proceedings 1990 Google ScholarDigital Library
- Kirckanski 82.M. Kirckanski and M. Vukobratovic, A method for optimal synthesis of manipulation robot trajectories, Trans. ASME, J. Dynamic Systems, Measurements and Control 104, 1982Google Scholar
- Klein 83.C.A. Klein and C.H. Huang, Review of pseudoinverse control for use with kinematically redundant manipulators, IEEE Transactions on systems, Man and Cybernetics, SMC-13(2), march/april 1983Google ScholarCross Ref
- Korein 82.J.U. Korein and N.I. Badler, Techniques for generating the goal-directed motion of articulated structures, IEEE Computer Graphics and applications, pp 71-81, 1982Google Scholar
- Landsmeer 55.J.M.F. Lamdsmeer, Anatomical and functional investigations on the articulations of the human fingers, Acta anatomica, suppl. 25, 1-69, 1955Google Scholar
- Landsmeer 58.J.M.F. Landsmeer, A report on the coordination of the interphalangeal joints of the human finger and it's disturbances, Acta Morphologica Neerlando-Scandinavica 2. 59-84, 1958Google Scholar
- Landsmeer 63.J.M.F. Landsmeer, The coordination of finger joint motions, J. Bone Jnt. Sur. 45, 1654-1662, 1963Google ScholarCross Ref
- Liegeois 77.A. Liegeois, Automatic Supervisory control of the configuration and behavior of multibody mechanisms, IEEE Transactions on systems, Man and Cybernetics, SMC-7 (12), december 1977Google Scholar
- Lin 83.C. Lin, P. Chang and J. Luh, Formulation and optimization cubic polynomial joint trajectories for industrial robots, 1EEE Trans. Automatic Control AC-28(12), 1983Google Scholar
- Lozano-Perez.T. Lozano-Perez, Spatial Planning: a Configuration Approach, IEEE Transactions on Computers, Vol C-32, No.2, feb 1982Google ScholarDigital Library
- Maciej 90.A.A. Maciejewski, Dealing with the illconditioned equations of motion for articulated figures, IEEE Computer Graphics and Applications, May 1990 Google ScholarDigital Library
- Marr 82.Vision, Freeman Press, San Fransisco, California, 1982Google Scholar
- Moore 88.M. Moore and J. Wilhelms, Collision detection and response for computer animation, Proc. ACM Siggraph 1988, Computer Graphics 22(4) Google ScholarDigital Library
- Paillard 82.J. Paillard, The contribution of perifpheral and central vision to visualUy guided reaching, Analysis of visual behavior, (eds: Ingle, Goodale, Mansfield) Cambridge, Mass. MIT Press, pp 367-385, 1982Google Scholar
- Pletinckx 89.D. Pletinckx, Quatemion calculus as a basic tool in computer graphics, The Visual Computer 1989Google Scholar
- Rijpkema 91.M. Girard and H. Rijpkema, efficient collision detection for convex and concave polyhedral objects, to be submitted.Google Scholar
- Sahar 85.G. Sahar and J. Hollerbach, Plam~g of minimum time trajectories for robot arms, IEEE International Conference on Robotics and Automation, march 1985Google Scholar
- Schoner 90.P. Schoner and D. Zeltzer, The virtual erector set: Dynamic simulation with linear recursive constraint propagation. Prec. 1990 Symposium on Interactive 3D Graphics March 25-28, Snowbird, Utah Google ScholarDigital Library
- Shoemake 85.K. Shoemake, Animating Rotation with Quatemion Curves, ACM Siggraph Proceedings 1985 Google ScholarDigital Library
- Tan 88.H. Tan and R. Potts, Minimum time trajectory planner for discrete dynamic robot model with dynamic constraints, IEEE J. of Robotics and Automation 4(2), 1988Google ScholarCross Ref
- Tomovic 87.R. Tomovic, G.A. Bekey and W.J. Karplus, A strategy for grasp synthesis with multifmgered robot hands, Proceedings of the IEEE on Robotics and Automation 1987. pp 83-89.Google Scholar
- Walker 82.M. Walker and D. Orin, Efficient dynamic simulation of robot mechanisms, Trans. ASME, J. Dynamic Systems, Measurements and Control, 1982Google Scholar
- Wang 88.G. Wang and H.E. Stephanou, Chopstick manipulation with an articulated hand: a qualitative analysis, Prcw.eedings of the IEEE on Robotics and Automation 1988. pp 94-99.Google Scholar
- Whitney 69.D.E. Whitney, Resolved motion rate control of manipulators and human protheses, IEEE Transactions on Man-Machine systemsm MMS-10(2) pp 47-53, june 1969Google Scholar
- Wilhelms 87.J. Wilhelms, Using dynamic analysis for realistic animation of articulated bodies, IEEE Computer Graphics and Applications 7(6), 1987 Google ScholarDigital Library
- Witkin 87.A. Witkin and M. Kass, Spacetime constraints, ACM Computer Graphics, Siggraph Proceedings 1987 Google ScholarDigital Library
Index Terms
- Computer animation of knowledge-based human grasping
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