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Controlling the Posture of a Humanoid Robot

  • Teresa ZielinskaEmail author
  • Luo Zimin
Conference paper
  • 79 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)

Abstract

The method for planning the robotic hand trajectory and postural adjustments of a humanoid robot is presented. The planar case is analyzed and the body displacement is represented in the sagittal plane. Such a scenario is typical for the tasks when two hands are equally involved in handling, placing or collecting some objects. The robot is expected to adjust its standing posture according to the designed trajectory of the hands. The geometrical approach to trajectory planning of the robot hands is presented. The damped least-square pseudo-inverse with null space projection is used for calculating the pseudo-inverse of augmented Jacobian. Presented method was tested using the robot model and the real prototype. The paper is ending with conclusions.

Keywords

Humanoid robot Motion generation Postural adjustment Redundant structure 

References

  1. 1.
    Arisumi, H., Miossec, S., Chardonnet, J.R., Yokoi, K.: Dynamic lifting by whole body motion of humanoid robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 668–675 (2008)Google Scholar
  2. 2.
    Youngjin, C., Kim Doik, O., Yonghwan, Y.B.-J.: Posture/Walking control for humanoid robot based on kinematic resolution of CoM Jacobian with embedded motion. IEEE Trans. Rob. 23, 1285–1293 (2008)CrossRefGoogle Scholar
  3. 3.
    Grey, M., Joo, S., Zucker, M.: Planning heavy lifts for humanoid robots. In: IEEE-RAS International Conference on Humanoid Robot, pp. 640–645 (2015)Google Scholar
  4. 4.
    Lippi, V., Mergner, T.: Human-derived disturbance estimation and compensation (DEC) method lends itself to a modular sensorimotor control in a humanoid robot. Frontiers Neurorob. (2017)Google Scholar
  5. 5.
    Mergner, T., Lippi, V.: Posture control - human-inspired approaches for humanoid robot benchmarking: conceptualizing tests, protocols and analyses. Frontiers Neurorob. 21(21) (2018)Google Scholar
  6. 6.
    Thomassino, P.: Task-space separation principle: a force field approach to posture and movement planning for redundant manipulators. In: From Human Postural Synergies to Bio-Inspired Motion Planning for Redundant Manipulators, pp. 23–56. Springer Theses (2019)Google Scholar
  7. 7.
    Sciavicco, L., Siciliano, B.: Modelling and Control of Robot Manipulators, 2nd edn. Springer, London (2000)CrossRefGoogle Scholar
  8. 8.
    Siciliano, B., Slotine, J.J.E.: A general framework for managing multiple tasks in highly redundant robotic systems. In: 5th International Conference on Advanced Robotics, pp. 1211–1216 (1991)Google Scholar
  9. 9.
    Wampler, C.W.: Manipulator inverse kinematic solutions based on vector formulations and damped least-squares methods. IEEE Trans. Syst. Man Cybern. 16, 93–101 (1986)CrossRefGoogle Scholar
  10. 10.
    Zielinska, T., Zimin, L., Szumowski, M., Ge, W.: Motion planning for a humanoid robot with task dependent constraints. In: Advances in Mechanism and Machine Science. IFToMM World Congress 2019. Mechanisms and Machine Science, vol. 73. Springer (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Power and Aerospace EngineeringWarsaw University of TechnologyWarsawPoland
  2. 2.SingaporeSingapore

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