Adaptive regulation of assistance 'as needed' in robot-assisted motor skill learning and neuro-rehabilitation

IEEE International Conference on Rehabilitation Robotics

Volumn , Issue , 2011, Pages

  Squeri, Valentina ^a   Basteris, Angelo ^a,b   Sanguineti, Vittorio ^a,b  

^a ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

guidance; motor skill learning; robot therapy; shaping

Indexed keywords

ADAPTIVE PROCEDURE; ADAPTIVE REGULATION; AUTOMATIC ADJUSTMENT; MOTOR SKILL LEARNING; NEUROMOTOR; NEUROREHABILITATION; PSYCHOPHYSICAL THRESHOLDS; RECOVERY PROCESS; ROBOT-THERAPY; SHAPING; TASK DIFFICULTY; VIRTUAL OBJECTS;

ROBOTICS;

ROBOTS;

ARTICLE; BAYES THEOREM; HUMAN; LEARNING; METHODOLOGY; MOTOR PERFORMANCE; PHYSIOLOGY; ROBOTICS; THEORETICAL MODEL;

BAYES THEOREM; HUMANS; LEARNING; MODELS, THEORETICAL; MOTOR SKILLS; ROBOTICS;

EID: 80055038764     PISSN: 19457898     EISSN: 19457901     Source Type: Conference Proceeding    
DOI: 10.1109/ICORR.2011.5975375     Document Type: Conference Paper

References (32)

1. D. J. Reinkensmeyer and J. L. Patton, "Can robots help the learning of skilled actions?," Exerc Sport Sci Rev, vol. 37, pp. 43-51, Jan 2009.
2. L. Marchal Crespo and D. J. Reinkensmeyer, "Haptic guidance can enhance motor learning of a steering task," J Mot Behav, vol. 40, pp. 545-56, Nov 2008
3. R. A. Smith and T. D. Lee, Motor Control and Learning: A Behavioral Emphasis vol. 4: Human Kinetics, 2005.
4. J. L. Emken, R. Benitez, A. Sideris, J. E. Bobrow, and D. J. Reinkensmeyer, "Motor adaptation as a greedy optimization of error and effort," J Neurophysiol, vol. 97, pp. 3997-4006, Jun 2007.
5. L. Marchal-Crespo and D. J. Reinkensmeyer, "Review of control strategies for robotic movement training after neurologic injury," J Neuroeng Rehabil, vol. 6, p. 20, 2009.
6. C. A. Trombly, "Occupational Therapy for Physical Dysfunction," 1995.
7. L. L. Cai, A. J. Fong, C. K. Otoshi, Y. Liang, J. W. Burdick, R. R. Roy, and V. R. Edgerton, "Implications of assist-as-needed robotic step training after a complete spinal cord injury on intrinsic strategies of motor learning," J Neurosci, vol. 26, pp. 10564-8, Oct 11 2006.
8. E. T. Wolbrecht, V. Chan, D. J. Reinkensmeyer, and J. E. Bobrow, "Optimizing compliant, model-based robotic assistance to promote neurorehabilitation," IEEE Trans Neural Syst Rehabil Eng, vol. 16, pp. 286-97, Jun 2008.
9. M. Casadio, P. Morasso, V. Sanguineti, and P. Giannoni, "Minimally assistive robot training for proprioception enhancement," Exp Brain Res, vol. 194, pp. 219-31, Apr 2009.
10. V. Squeri, M. Casadio, E. Vergaro, P. Giannoni, P. Morasso, and V. Sanguineti, "Bilateral robot therapy based on haptics and reinforcement learning: Feasibility study of a new concept for treatment of patients after stroke," J Rehabil Med, vol. 41, pp. 961-5, Nov 2009.
11. E. Vergaro, M. Casadio, V. Squeri, P. Giannoni, P. Morasso, and V. Sanguineti, "Self-adaptive robot training of stroke survivors for continuous tracking movements," Journal of NeuroEngineering and Rehabilitation, vol. 7, p. 13, 2010.
12. J. L. Emken, R. Benitez, and D. J. Reinkensmeyer, "Human-robot cooperative movement training: learning a novel sensory motor transformation during walking with robotic assistance-as-needed," J Neuroeng Rehabil, vol. 4, p. 8, 2007.
13. M. Ferraro, J. J. Palazzolo, J. Krol, H. I. Krebs, N. Hogan, and B. T. Volpe, "Robot-aided sensorimotor arm training improves outcome in patients with chronic stroke," Neurology, vol. 61, pp. 1604-7, Dec 9 2003.
14. N. Hogan, H. I. Krebs, B. Rohrer, J. J. Palazzolo, L. Dipietro, S. E. Fasoli, J. Stein, R. Hughes, W. R. Frontera, D. Lynch, and B. T. Volpe, "Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery.," J Rehabil Res Dev, vol. 43, pp. 605-618, 2006.
15. T. D. Sanger, "Failure of motor learning for large initial errors," Neural Comput, vol. 16, pp. 1873-86, Sep 2004.
16. M. A. Guadagnoli and T. D. Lee, "Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning," J Mot Behav, vol. 36, pp. 212-24, Jun 2004.
17. L. Marchal-Crespo, S. McHughen, S. C. Cramer, and D. J. Reinkensmeyer, "The effect of haptic guidance, aging, and initial skill level on motor learning of a steering task," Exp Brain Res, vol. 201, pp. 209-20, Mar 2010.
18. B. Cesqui, S. Aliboni, S. Mazzoleni, M. C. Carrozza, F. Posteraro, and S. Micera, "On the use of divergent force fields in robot-mediated neurorehabilitation," in Biomedical Robotics and Biomechatronics, 2008. BioRob 2008. 2nd IEEE RAS & EMBS International Conference on 2008, pp. 854-861.
19. R. A. Scheidt, J. B. Dingwell, and F. A. Mussa-Ivaldi, "Learning to move amid uncertainty," J Neurophysiol, vol. 86, pp. 971-85, Aug 2001.
20. K. A. Thoroughman and R. Shadmehr, "Learning of action through adaptive combination of motor primitives," Nature, vol. 407, pp. 742-7, Oct 12 2000.
21. O. Donchin, J. T. Francis, and R. Shadmehr, "Quantifying generalization from trial-by-trial behavior of adaptive systems that learn with basis functions: theory and experiments in human motor control," J Neurosci, vol. 23, pp. 9032-45, Oct 8 2003.
22. C. E. Han, M. A. Arbib, and N. Schweighofer, "Stroke rehabilitation reaches a threshold," PLoS Comput Biol, vol. 4, p. e1000133, 2008.
23. M. Casadio, V. Novakovic, P. G. Morasso, and V. Sanguineti, "Modeling the dynamics of the recovery process in robot therapy," in 2009 Virtual Rehabilitation International Conference, Haifa, Israel, 2009, pp. 98-104.
24. A. B. Watson and D. G. Pelli, "QUEST: a Bayesian adaptive psychometric method," Percept Psychophys, vol. 33, pp. 113-20, Feb 1983.
25. M. Casadio, P. G. Morasso, V. Sanguineti, and V. Arrichiello, "Braccio di Ferro: a new haptic workstation for neuromotor rehabilitation," Technol Health Care, vol. 13, pp. 1-20, 2006.
26. J. B. Dingwell, C. D. Mah, and F. A. Mussa-Ivaldi, "Experimentally confirmed mathematical model for human control of a non-rigid object," J Neurophysiol, vol. 91, pp. 1158-70, Mar 2004.
27. J. B. Dingwell, C. D. Mah, and F. A. Mussa-Ivaldi, "Manipulating objects with internal degrees of freedom: evidence for model-based control," J Neurophysiol, vol. 88, pp. 222-35, Jul 2002.
28. M. K. O'Malley, A. Gupta, M. Gen, and Y. F. Li, "Shared control in haptic systems for performance enhancement and training," Journal of Dynamic Systems Measurement and Control-Transactions of the Asme, vol. 128, pp. 75-85, MAR 2006.
29. V. Patoglu, Y. Li, and M. O'Malley, "On the Efficacy of Haptic Guidance Schemes for Human Motor Learning," in Medical Physics and Biomedical Engineering World Congress, Munich, Germany, 2009.
30. R. A. Scheidt, D. J. Reinkensmeyer, M. A. Conditt, W. Z. Rymer, and F. A. Mussa-Ivaldi, "Persistence of motor adaptation during constrained, multi-joint, arm movements," J Neurophysiol, vol. 84, pp. 853-62, Aug 2000.
31. M. Mihelj, T. Nef, and R. Riener, "A novel paradigm for patient-cooperative control of upper-limb rehabilitation robots," Advanced Robotics, vol. 21, pp. 843-867, 2007.
32. H. I. Krebs, J. J. Palazzolo, L. Dipietro, B. T. Volpe, and N. Hogan, "Rehabilitation robotics: Performance-based progressive robot-assisted therapy," Autonomous Robots, vol. 15, pp. 7-20, JUL 2003.