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Journal of Bionic Engineering

, Volume 15, Issue 2, pp 247–259 | Cite as

Mechatronic Design of a Synergetic Upper Limb Exoskeletal Robot and Wrench-based Assistive Control

  • Lei He
  • Caihua Xiong
  • Kai Liu
  • Jian Huang
  • Chang He
  • Wenbin Chen
Article

Abstract

Upper limb exoskeletal rehabilitation robots are required to assist patients’ arms to perform activities of daily living according to their motion intentions. In this paper, we address two questions: how to design an exoskeletal robot which can mechanically reconstruct functional movements using only a few actuators and how to establish wrench-based assistive control. We first show that the mechanism replicating the synergic feature of the human upper limb can be designed in a recursive manner, meaning that the entire robot can be constructed from two basic mechanical units. Next, we illustrate that the assistive control for the synergetic exoskeletal robot can be transformed into an optimization problem and a Riemannian metric is proposed to generate anthropomorphic reaching movements according to contact forces and torques. Finally, experiments are carried out to verify the functionality of the proposed theory.

Keywords

upper limb exoskeletal robot postural synergy wrench based assistive control 

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Notes

Acknowledgment

This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 91648203 and 51335004), the International Science & Technology Cooperation Program of China (Grant No. 2016YFE0113600), and the Science Foundation for Innovative Group of Hubei Province (Grant No. 2015CFA004).

The authors would like to thank Ting Wang, Xiaowei Cheng, and Xuan Wu for their contributions to the development of the experimental platform.

References

  1. [1]
    Riener R, Nef T, Colombo G. Robot-aided neurorehabilitation of the upper extremities. Medical and Biological Engineering and Computing, 2005, 43, 2–10.CrossRefGoogle Scholar
  2. [2]
    Kwakkel G, Kollen B J, Krebs H I. Effects of robot-assisted therapy on upper limb recovery after stroke: A systematic review. Neurorehabilitation and Neural Repair, 2008, 22, 111–121.CrossRefGoogle Scholar
  3. [3]
    Hubbard I J, Parsons M W, Neilson C, Carey L M. Task-specific training: Evidence for and translation to clinical practice. Occupational Therapy International, 2009, 16, 175–189.CrossRefGoogle Scholar
  4. [4]
    Bayona N A, Bitensky J, Salter K, Teasell R. The role of task-specific training in rehabilitation therapies. Topics in Stroke Rehabilitation, 2005, 12, 58–65.CrossRefGoogle Scholar
  5. [5]
    Jarrasse N, Proietti T, Crocher V, Robertson J, Sahbani A, Morel G, Roby-Brami A. Robotic exoskeletons: A perspective for the rehabilitation of arm coordination in stroke patients. Frontiers in Human Neuroscience, 2014, 8, 1–13.Google Scholar
  6. [6]
    Maciejasz P, Eschweiler J, Gerlach-Hahn K, Jansen-Troy A, Leonhardt S. A survey on robotic devices for upper limb rehabilitation. Journal of Neuroengineering and Rehabilitation, 2014, 11, 1–29.CrossRefGoogle Scholar
  7. [7]
    Hogan N, Krebs H I, Charnnarong J, Srikrishna P, Sharon A. MIT-MANUS: A workstation for manual therapy and training. I. Proceedings IEEE International Workshop on Robot and Human Communication, Tokyo, Japan, 1992, 161–165.CrossRefGoogle Scholar
  8. [8]
    Lum P S, Burgar C G, Van der Loos M, Shor P C, Majmundar M, Yap R. MIME robotic device for upper-limb neurorehabilitation in subacute stroke subjects: A follow-up study. Journal of Rehabilitation Research and Development, 2006, 43, 631–642.CrossRefGoogle Scholar
  9. [9]
    Loureiro R, Amirabdollahian F, Topping M, Driessen B, Harwin W. Upper limb robot mediated stroke therapy- GENTLE/s approach. Autonomous Robots, 2003, 15, 35–51.CrossRefGoogle Scholar
  10. [10]
    Nef T, Guidali M, and Riener R, ARMin III–arm therapy exoskeleton with an ergonomic shoulder actuation. Applied Bionics and Biomechanics, 2009, 6, 127–142.CrossRefGoogle Scholar
  11. [11]
    Keller U, van Hedel H J A, Verena K M, Riener R. ChARMin: The first actuated exoskeleton robot for pediatric arm rehabilitation. IEEE/ASME Transactions on Mechatronics, 2016, 21, 2201–2213.CrossRefGoogle Scholar
  12. [12]
    Kim B, Deshpande A D. An upper-body rehabilitation exoskeleton Harmony with an anatomical shoulder mechanism: Design, modeling, control, and performance evaluation. International Journal of Robotics Research, 2017, 36, 414–435.CrossRefGoogle Scholar
  13. [13]
    Perry J C, Rosen J, Bums S. Upper-limb powered exoskeleton design. IEEE-ASME Transactions on Mechatronics, 2007, 12, 408–417.CrossRefGoogle Scholar
  14. [14]
    Gopura R A R C, Kiguchi K, Li Y. SUEFUL-7: A 7DOF upper-limb exoskeleton robot with muscle-model-oriented EMG-based control. IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 2009, 1126–1131.Google Scholar
  15. [15]
    Carignan C, Tang J, Roderick S. Development of an exoskeleton haptic interface for virtual task training. IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 2009, 3697–3702.Google Scholar
  16. [16]
    Otten A, Voort C, Stienen A, Aarts R, van Asseldonk E, van der Kooij H. LIMPACT: A hydraulically powered self-aligning upper limb exoskeleton. IEEE-ASME Transactions on Mechatronics, 2015, 20, 2285–2298.CrossRefGoogle Scholar
  17. [17]
    Sanger T D. Human arm movements described by a low-dimensional superposition of principal components. The Journal of Neuroscience, 2000, 20, 1066–1072.CrossRefGoogle Scholar
  18. [18]
    Santello M, Flanders M, Soechting J F. Postural hand synergies for tool use. Journal of Neuroscience, 1998, 18, 10105–10115.CrossRefGoogle Scholar
  19. [19]
    Vidal R, Ma Y, Sastry S S. Generalized Principal Component Analysis, 1st ed, Springer, New York, USA, 2016.CrossRefzbMATHGoogle Scholar
  20. [20]
    Artemiadis P K, Kyriakopoulos K J. EMG-based control of a robot arm using low-dimensional embeddings. IEEE Transactions on Robotics, 2010, 26, 393–398.CrossRefGoogle Scholar
  21. [21]
    Santello M, Bianchi M, Gabiccini M, Ricciardi E, Salvietti G, Prattichizzo D, Ernst M, Moscatelli A, Jorntell H, Kappers A M L, Kyriakopoulos K, Albu-Schaeffer A, Castellini C, Bicchi A. Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands. Physics of Life Reviews, 2016, 17, 1–23.CrossRefGoogle Scholar
  22. [22]
    Xiong C H, Chen W R, Sun B Y, Liu M J, Yue S G, Chen W B. Design and implementation of an anthropomorphic hand for replicating human grasping functions. IEEE Transactions on Robotics, 2016, 32, 652–671.CrossRefGoogle Scholar
  23. [23]
    Kim S, Park F C. Fast robot motion generation using principal components: Framework and algorithms. IEEE Transactions on Industrial Electronics, 2008, 55, 2506–2516.CrossRefGoogle Scholar
  24. [24]
    Magermans D, Chadwick E, Veeger H, Van Der Helm F. Requirements for upper extremity motions during activities of daily living. Clinical Biomechanics, 2005, 20, 591–599.CrossRefGoogle Scholar
  25. [25]
    van Andel C J, Wolterbeek N, Doorenbosch C A, Veeger D H, Harlaar J. Complete 3D kinematics of upper extremity functional tasks. Gait & Posture, 2008, 27, 120–127.CrossRefGoogle Scholar
  26. [26]
    Chen W, Xiong C, Huang X, Sun R, Xiong Y. Kinematic analysis and dexterity evaluation of upper extremity in activities of daily living. Gait & Posture, 2010, 32, 475–481.CrossRefGoogle Scholar
  27. [27]
    Coscia M, Cheung V C, Tropea P, Koenig A, Monaco V, Bennis C, Micera S, Bonato P. The effect of arm weight support on upper limb muscle synergies during reaching movements. Journal of Neuroengineering and Rehabilitation, 2014, 11, 1–15.CrossRefGoogle Scholar
  28. [28]
    Davies P M. Steps to Follow: The Comprehensive Treatment of Patients with Hemiplegia, 2nd ed, Springer Science & Business Media, New York, USA, 2000.CrossRefGoogle Scholar
  29. [29]
    Koshland G F, Galloway J C, Nevoret-Bell C J. Control of the wrist in three-joint arm movements to multiple directions in the horizontal plane. Journal of Neurophysiology, 2000, 83, 3188–3195.CrossRefGoogle Scholar
  30. [30]
    Brown C Y, Asada H H. Inter-finger coordination and postural synergies in robot hands via mechanical implementation of principal components analysis. IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, CA, USA, 2007, 2877–2882.Google Scholar
  31. [31]
    Chen W, Xiong C, Yue S. Mechanical implementation of kinematic synergy for continual grasping generation of anthropomorphic hand. IEEE/ASME Transactions on Mechatronics, 2015, 20, 1249–1263.CrossRefGoogle Scholar
  32. [32]
    Murray R M, Li Z, Sastry S S, Sastry S S. A Mathematical Introduction to Robotic Manipulation, CRC press, Florida, USA, 1994.zbMATHGoogle Scholar
  33. [33]
    Wu Q C, Wang X S, Chen L, Du F P. Transmission model and compensation control of double-tendon-sheath actuation system. IEEE Transactions on Industrial Electronics, 2015, 62, 1599–1609.CrossRefGoogle Scholar

Copyright information

© Jilin University 2018

Authors and Affiliations

  • Lei He
    • 1
  • Caihua Xiong
    • 1
  • Kai Liu
    • 1
  • Jian Huang
    • 2
  • Chang He
    • 1
  • Wenbin Chen
    • 1
  1. 1.School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhanChina
  2. 2.School of AutomationHuazhong University of Science and TechnologyWuhanChina

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