A criterion for optimal design of multi-axis force sensors

Abstract This paper deals with the design of multi-axis force (also known as force/torque) sensors, as considered within the framework of optimal design theory. Optimal design procedures consists of finding the combination of design variables that extremizes some optimality criterion: provided a suitable mathematical formulation of the problem, solutions can be efficiently obtained through currently available numerical techniques. The principal goal of this paper is to identify a mathematical objective function, whose minimization corresponds to the optimization of sensor accuracy. The methodology employed is derived from linear algebra and analysis of numerical stability. An objective function which can be applied to a large class of sensor configurations is proposed. The problem of optimizing the number of basic transducers employed in a multi-component sensor is also addressed. Finally, applications of the proposed method to the design of a simple sensor as well as to the optimization of a novel, 6-axis miniaturized sensor are discussed.

[1]  Aleksandr Yakovlevich Khinchin,et al.  Mathematical foundations of information theory , 1959 .

[2]  Garret N. Vanderplaats,et al.  Numerical optimization techniques , 1987 .

[3]  Tsuneo Yoshikawa,et al.  Design and signal processing of six-axis force sensors , 1988 .

[4]  Hendrik Van Brussel,et al.  Force sensing for advanced robot control , 1985, Robotics.

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

[6]  Åke Björck,et al.  Numerical Methods , 1995, Handbook of Marine Craft Hydrodynamics and Motion Control.

[7]  Antonio Bicchi,et al.  Whole-Hand Manipulation: Design of an Articulated Hand Exploiting All Its Parts to Increase Dexterity , 1993 .

[8]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[9]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .

[10]  Antonio Bicchi,et al.  Integrated Tactile Sensing for Gripper Fingers , 1988 .

[11]  Antonio Bicchi,et al.  Intrinsic contact sensing for soft fingers , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[12]  D. Brock,et al.  Environment Perception of and Articulated Robot Hand Using Contact Sensors , 1985 .

[13]  Gene H. Golub,et al.  Matrix computations , 1983 .

[14]  M. Bendsøe,et al.  A Variational Formulation for Multicriteria Structural Optimization , 1983 .

[15]  John Kenneth Salisbury,et al.  Determination of Manipulator Contact Information from Joint Torque Measurements , 1989, ISER.

[16]  Matthew T. Mason,et al.  Robot Hands and the Mechanics of Manipulation , 1985 .

[17]  H. Keller,et al.  Analysis of Numerical Methods , 1969 .

[18]  Hendrik Van Brussel,et al.  Force sensing for advanced robot control , 1986, Robotics.

[19]  D. H. Young,et al.  Theory of Structures , 1965 .

[20]  John Kenneth Salisbury,et al.  Augmentation of grasp robustness using intrinsic tactile sensing , 1989, Proceedings, 1989 International Conference on Robotics and Automation.

[21]  John Kenneth Salisbury,et al.  Interpretation of contact geometries from force measurements , 1984, ICRA.

[22]  Antonio Bicchi,et al.  Intrinsic tactile sensing for artificial hands , 1988 .

[23]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[24]  J. H. Wilkinson The algebraic eigenvalue problem , 1966 .