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Philosophy, structure, and examples of relegated control

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Abstract

With the availability of fast and economical microprocessors, effective design of systems that are immune to failure of individual or groups of sensors, actuators, or computational units is feasible. The system can be made tolerant of the failure of individual subsystems, but functions with reduced efficiency.

One way to realize this design is to formulate the dynamics of the systems in larger than minimal state spaces, to process the large number of sensory inputs needed, to relegate control functions to different inputs and to provide reliable communication among the subsystems. The imbedding of the state of the system in a larger state space allows the system to have direct access to its minimal state and indirect access by computing it, hence the need for many sensors. The sensors themselves can then measure directly physical parameters of interest or indirectly by providing a processor with measurements from which the processor computes the needed parameter.

This paper deals with the concept of relegation of control as a special kind of generalized nonlinear decoupling control.

A structure is proposed that relegates control of specific functions to subsets of inputs. The concept is illustrated by a nonlinear robotic example where the control of constraint forces (due to contact, grip, hold, touch, etc.), control of trajectory of motion, control of stability, and control of collision avoidance are relegated to different inputs. The inputs can be the actuator outputs of force and torque applied to the mechanical system or alternatively the inputs to the actuators themselves. Any conflict in fulfilling the four functions is arbitrated at a higher level. Compromises among the functions, priorities of functions over each other and assignments of inputs in primary, secondary, or as lower contributors to function are elaborated, programmed, and stored. This structure allows integration of a certain amount of intelligence in a robotic system at the lowest level.

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References

  1. CaplanN., The robots are coming, the robots are coming, IEEE Control Systems Magazine 2, (2), 10–13, (1982).

    Google Scholar 

  2. SaridisG.N., Towards the realization of intelligent controls, Proc. IEEE 67, 1115–1133, (1979).

    Google Scholar 

  3. Seering, W.P., Robotics and manufacturing — a perspective, in M. Brady and R. Paul (eds), Proc. 1st International Symposium on Robotic Research, MIT Press, pp. 973–982 (1984).

  4. Rossol, L., Technological barriers in robotics — a perspective from industry, in Proc. 1st International Conference on Robotics, ibid., pp. 963–972.

  5. Albus, G.C., McLean, C.R., Barbera, A.J., and Fitzgerald, M.L., Hierarchical control for robots and teleoperators, in IEEE Workshop on Intelligent Control (eds A. Sardis and A. Meystel), IEEE Press, pp. 39–49 (1985).

  6. Johnson, T., Hierarchical processing for manufacturing applications, in IEEE Workshop on Intelligent Control (eds A. Sardis and A. Meystel), IEEE Press, pp. 198–203 (1985).

  7. LuhJ.Y.S., An anatomy of industrial robots and their application, IEEE Trans. Automatic Control 28(2), 133–153 (1983).

    Google Scholar 

  8. Miura, H. and Shimoyama, I., Dynamic walk of biped locomotion, in M. Brady and R. Paul (eds), MIT Press, pp. 303–325 (1984).

  9. Laroussi, K., Coordination of two planar robots in lifting, MS thesis, The Ohio State University (1984).

  10. Bajcsy, Ruzena, What can we learn from one finger experiments? in M. Brady and R. Paul (eds), 1st International Symposium on Robotic Research, MIT Press, pp. 509–527 (1984).

  11. Hackwood, S. and Beni, G., Sensor and high-precision robotic research, in M. Brady and R. Paul (eds), 1st International Symposium on Robotic Research, MIT Press, pp. 529–545 (1984).

  12. SalisburyK. and CraigJ.J., Articulated hands: force control and kinematic issues, Internat. J. Robotic Res. 1, 4–17 (1982).

    Google Scholar 

  13. KobayashiHiroaki, Control and geometrical considerations for an articulated robot hand, Robotics Res. 4, 3–12 (1985).

    Google Scholar 

  14. WongchaisuwatC., DonneJ., OzgunerU., and HemamiH., Control of a planar arm by nonlinear feedback gains, J. Robotic Systems 1, 157–167 (1984).

    Google Scholar 

  15. KleinC.A., OlsonK.W., and PughD.R., Use of force and attitude sensors for locomotion of a legged vehicle over irregular terrain, Internat. J. Robotic Res. 2, 3–17 (1983).

    Google Scholar 

  16. CrimsonW. EricL. and Lozano-PercyTomas, Model-based recognition and localization from sparse range or tactile data, Internat. J. Robotic Res. 3, 3–35 (1984).

    Google Scholar 

  17. Salisbury, J. Kenneth Jr., Interpretation of contact geometries from force measurements in 1st International Symposium on Robotic Research in M. Brady and R. Paul (eds), MIT Press, pp. 565–577 (1984).

  18. Jacobson, S.C., Wood, J.E., Knutti, D.T., and Biggers, K.B., The Utah/MIT dexterous hand: work in progress in M. Brady and R. Paul (eds), 1st International Symposium on Robotic Research pp. 601, 653 (1984).

  19. Maciejewski, A.A., Obstacle avoidance for kinematically redundant manipulators, MS thesis, The Ohio State University (1984).

  20. Hemami, H., Computation structures in analysis, control and simulation of interconnected rigid bodies, a study of supercomputers in mechanical systems research conducted at Lawrence Livermore National Laboratory, Sept. 12–14, 1984, edited by A.H. Soni, pp. IV D-1, D-18.

  21. KinoshitaGenichiro and HattoriKiyoshi, Tactile sensor design and tactile sensing on 3-D objects, J. Robotic Systems 2, 41–52 (1985).

    Google Scholar 

  22. HarmonLeon D., Automated tactile sensing, Internat. J. Robotic Res. 1, 3–32 (1982).

    Google Scholar 

  23. DrielsM.R., MichaelK.M., and CholakisP.N., Evaluation of a grey scale tactile array sensor pad for robotic applications, J. Robotic Systems 2, 199–227 (1985).

    Google Scholar 

  24. PinsonLewis J., Robot vision: an evaluation of imaging sensors, J. Robotic Systems 1, 263–314 (1984).

    Google Scholar 

  25. HemamiH. and WymanB.F., Indirect control of the forces of constraint in dynamic systems, Trans ASME, J. Dynamic Systems, Measurement and Control 101, 355–360 (1979).

    Google Scholar 

  26. HendersonTom and ShilcratEsther, Logical sensor systems, J. Robotic Systems 1, 169–193 (1984).

    Google Scholar 

  27. Gaglianello, R.D., A software transparent multiple microprocessor system, PhD. dissertation, The Ohio State University (1983).

  28. Raibert, M.H., Brown, H.B., and Murthy, S.S., 3-D Balance using 2-D algorithms in M. Brady and R. Paul (eds), 1st International Symposium on Robotic Research, MIT Press, pp. 279–301 (1984).

  29. WhitneyD.E., Resolved motion rate control of manipulators and human prostheses, IEEE Trans. Man-Machine Systems MMS-10, 2, 47–53 (1969).

    Google Scholar 

  30. LoeffL.A. and SoniA.H., An algorithm for computer guidance of a manipulator in between obstacles, Trans. ASME, J. Engineering for Industry 97, Series B, No. 3, 836–842 (1975).

    Google Scholar 

  31. LuhJ.Y.S., A scheme for collision avoidance with minimum distance traveling for industrial robots, J. Robotic Systems 1, 5–26 (1984).

    Google Scholar 

  32. MiyazakiF. and ArimotoS., Sensory feedback for robotic manipulations, J. Robotic Systems 2, 53–71 (1985).

    Google Scholar 

  33. FreundE. and HoyerH., Collision avoidance for industrial robots with arbitrary motion, J. Robotic Systems 1, 317–329 (1984).

    Google Scholar 

  34. GouzenesLaurent, Strategies for solving collision-free trajectories problems for mobile and manipulator robots, Internat. J. Robotics Res. 3, 4, 51–65 (1984).

    Google Scholar 

  35. Krogh, B.H., Guaranteed steering control, Proc. 1985 American Control Conference, Boston, Mass., pp. 950–955 (1985).

  36. Albus, J.S., Barbera, A.J., and Nagel, R.N., Theory and practice of hierarchical control, 23rd IEEE Computer Society International Conference, pp. 18–39 (1981).

  37. Freund, E., Hierarchical nonlinear control for robots, in M. Brady and R. Paul (eds), 1st International Symposium on Robotic Research, MIT Press, pp. 817–840 (1984).

  38. Wongchaisuwat, C., Control of constrained motion in natural and robotic systems, PhD dissertation, The Ohio State University (1985).

  39. Waldron, K.J., The manipulator interference problem, Design Engineering Technical Conference, Montreal, Paper No. 76-DET-68 (1976).

  40. Athans, M. (ed.), IEEE Transactions on Automatic Control AC-23, No. 2 (1978).

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This work was supported in part by the National Science Foundation under Grant ECS-820-1240 and in part by the Department of Electrical Engineering, The Ohio State University, Columbus, Ohio 43210, U.S.A.

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Hemami, H., Ong, H.D. Philosophy, structure, and examples of relegated control. J Intell Robot Syst 2, 53–72 (1989). https://doi.org/10.1007/BF00450556

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