Abstract
The aim of the described research is to design the robot’s posture taking into account the posture adopted by a human being, in consideration of the desired hand position. The final goal of the work is to provide a motion planning method in which a robot performs its task similarly, but not identically, to a human being. The article presents the geometric method of humanoid robot posture design. After a brief description of the state of art, the purpose of the research is given. Then the posture planning method is described. Human postures recorded in selected situations were compared with the postures planned with the use of the developed method. In the final part, the directions of future work are characterized.
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References
Grey, M., Joo, S., Zucker, M.: Planning heavy lifts for humanoid robots. In: 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), vol. 12(1662–5218), pp. 640–645 (2014)
Lei, J., Song, M., Li, Z.-N., Chen, C.: Whole-body humanoid robot imitation with pose similarity evaluation. Signal Process. 108, 136–146 (2015)
Martinez, S., Esteban, D., Jardon, A., Balaguer, C.: Anticipative humanoid postural control system for locomotive tasks. In: IEEE-RAS International Conference on Humanoid Robots, pp. 146–151 (2014). https://doi.org/10.1109/HUMANOIDS.2014.7041351
Harada, K., et al.: A humanoid robot carrying a heavy object. In: IEEE International Conference on Robotics and Automation, pp. 1712–1717 (2005). https://doi.org/10.1109/ROBOT.2005.1570360
Spitz, J., Bouyarmane, K., Ivaldi, S., Mouret, J.-B.: Trial-and-error learning of repulsors for humanoid QP-based whole-body control. In: IEEE RAS International Conference on Humanoid Robots (2017)
Berenson, D., Srinivasa, S., Kuffner, J.: Task space regions: a framework for pose-constrained manipulation planning. Int. J. Robot. Res. 3(12), 1435–1460 (2011). https://doi.org/10.1177/0278364910396389
Lippi, V., Maurer, Ch., Mergner, T.: Evaluating Robot posture control and balance by comparison to human subjects using human likeness measures. In: ROBOVIS 2021, arXiv:2110.14395v1 (2021)
Tao, T., Zhang, Z., Yang, X.: Visual perception method based on human pose estimation for humanoid robot imitating human motions. In: 2nd International Conference on Control, Robotics and Intelligent System, pp. 54–61 (2021)
Rossini, L., Hoffman, E.M., Laurenzi, A., Tsagarakis, N.G.: NSPG: an efficient posture generator based on null-space alteration and kinetostatics constraints. Front. Robot. AI 88, 715325 (2021). https://doi.org/10.3389/frobt.2021.715325
Zielinska, T., Zimin, L.: Controlling the posture of a humanoid robot. In: Bartoszewicz, A., Kabziński, J., Kacprzyk, J. (eds.) Advanced, Contemporary Control. AISC, vol. 1196, pp. 477–487. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50936-1_40
Disabled World: www.disabled-world.com, Adult Male and Female Height to Weight Ratio Chart. https://www.disabled-world.com/calculators-charts/height-weight.php. Accessed 6 Aug 2021
Acknowledgements
Presented research was supported by POB Research Centre for Artificial Intelligence and Robotics of Warsaw University of Technology within the Excellence Initiative Program – Research University (ID-UB).
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Zielinska, T., Kahraman, O. (2022). Simple Method for Humanoid Robot Posture Design. In: Kecskeméthy, A., Parenti-Castelli, V. (eds) ROMANSY 24 - Robot Design, Dynamics and Control. ROMANSY 2022. CISM International Centre for Mechanical Sciences, vol 606. Springer, Cham. https://doi.org/10.1007/978-3-031-06409-8_6
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