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Regenerative effects in the Sit-to-Stand and Stand-to-Sit movement

Published online by Cambridge University Press:  31 January 2014

Ronnie Joseph Wong  and
James Andrew Smith
Ronnie Joseph Wong*
Affiliation:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada
James Andrew Smith
Affiliation:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada
*
*Corresponding author. E-mail: r25wong@ryerson.ca
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Summary

While Sit-to-Stand and Stand-to-Sit are routine activities and are crucial pre-requisites to walking and running their underlying dynamics are poorly understood. Furthermore, the potential for using these movements to regenerate energy in energy-sensitive devices such as orthoses, prostheses and humanoid robots has never been examined. Insights in this domain can lead to more energy-efficient prosthesis, orthosis and humanoid robot designs. OBJECTIVES: The objectives are two-fold: first, to determine how much energy can be regenerated during standard movements related to transitions between sitting and standing on a scale humanoid model and second, to determine if the chosen actuator could produce better results if the gear ratio were modified. This manuscript's main contribution to the literature is by showing which joint provides the most regenerative effect during transitions between sitting and standing. MODEL DESIGN AND IMPLEMENTATION: Joint trajectories from existing biomechanics trials of sitting and standing transitions were fed into a 1/10 scale model of a humanoid robot. The robot model, developed in MapleSim, is comprised of standard and off-the-shelf subcomponents, including amplifier, NiMH battery and Robotis Dynamixel RX-28 actuators. RESULTS: Using the RX-28 actuator, the ankle, knee and hip joints all show a degree of regenerative effects, the hip demonstrates the most dramatic levels during the transition from standing to sitting. This contrasts with recent publications which show that the knee has the most important regenerative effects during walking and running. It is also found that for under 3 degree trajectory error the regenerative effect is best for all joints when the gear ratio is increased from the RX-28's 193:1 value to a value of approximately 760:1 for the ankle, 630:1 for the knee and 600:1 for the hip. CONCLUSIONS: During transitions between sitting and standing the greatest potential for regeneration occurs in the hips. Therefore, systems designed to implement regenerative effects between sitting and standing need to include subsystems at the hip for maximum regenerative effects.

Keywords

BipedsControl of robotic systemsDesignExoskeletonsHumanoid robotsHuman biomechanicsLegged robotsBiomimetic robots
Type
Articles
Information
Robotica , Volume 33 , Issue 1 , January 2015 , pp. 107 - 126
Copyright
Copyright © Cambridge University Press 2014 

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References

1.Janssen, W. G., Bussmann, H. B. and Stam, H. J., “Determinants of the sit-to-stand movement: a review,” Phys. Ther. 82 (9), 866–879 (2002).Google Scholar
2.Canada. Public Health Agency of Canada, The chief public health officers report on the state of public health in canada, 2010: Growing older-adding life to years. [Online]. Available at: http://www.phac-aspc.gc.ca/cphorsphc-respcacsp/2010/fr-rc/index-eng.php. (accessed April 10, 2011).Google Scholar
3.Kamnik, R. and Bajd, T., “Human voluntary activity integration in the control of a standing-up rehabilitation robot: A simulation study,” Med. Eng. Physi. 29 (9), 1019–1029 (2007).Google Scholar
4.Kobetic, R., To, C. S., Schnellenberger, J. R., Audu, M. L., Bulea, T. C., Gaudio, R., Pinault, G., Tashman, S. and Triolo, R., “Development of hybrid orthosis for standing, walking, and stair climbing after spinal cord injury,” J. Rehabil. Res. Dev. 46 (3), 447–462 (2009).Google Scholar
5.Luo, G., Chen, Z., Deng, Y., Dou, M. and Liu, W., “Research on Braking of Battery-Supplied Interior Permanent Magnet Motor Driving System,” Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE (2009) pp. 270–274.Google Scholar
6.Mistry, M., Murai, A., Yamane, K. and Hodgins, J., “Sit-to-Stand Task on a Humanoid Robot from Human Demonstration,” Humanoid Robots (Humanoids), 2010 10th IEEE-RAS International Conference on (2010) pp. 218–223.Google Scholar
7.Doorenbosch, C. A., Harlaar, J., Roebroeck, M. E. and Lankhorst, G. J., “Two strategies of transferring from sit-to-stand; the activation of monoarticular and biarticular muscles,” J. Biomech. 27 (11), 1299–1307 (1994).Google Scholar
8.Roebroeck, M., Doorenbosch, C., Harlaar, J., Jacobs, R. and Lankhorst, G., “Biomechanics and muscular activity during sit-to-stand transfer,” Clin. Biomech. 9 (4), 235–244 (1994).Google Scholar
9.Kerr, K., White, J., Barr, D. and Mollan, R., “Analysis of the sit-stand-sit movement cycle in normal subjects,” Clin. Biomech. (Bristol, Avon) 12 (4), 236 (1997).CrossRefGoogle ScholarPubMed
10.Yoshioka, S., Nagano, A., Himeno, R., Fukashiro, S.et al., “Computation of the kinematics and the minimum peak joint moments of sit-to-stand movements,” Biomed. Eng. online 6, 26 (2007).Google Scholar
11.Schultz, A. B., Alexander, N. B. and Ashton-Miller, J. A., “Biomechanical analyses of rising from a chair,” J. Biomech. 25 (12), 1383–1391 (1992).Google Scholar
12.Nuzik, S., Lamb, R., VanSant, A. and Hirt, S., “Sit-to-stand movement pattern a kinematic study,” Phys. Ther. 66 (11), 1708–1713 (1986).Google Scholar
13.Shepherd, R. B. and Gentile, A., “Sit-to-stand: Functional relationship between upper body and lower limb segments,” Hum. Mov. Sc. 13 (6), 817–840 (1994).CrossRefGoogle Scholar
14.Kralj, A., Jaeger, R. J. and Munih, M., “Analysis of standing up and sitting down in humans: definitions and normative data presentation,” J. Biomech. 23 (11), 1123–1138 (1990).CrossRefGoogle ScholarPubMed
15.Hemami, H. and Jaswa, V. C., “On a three-link model of the dynamics of standing up and sitting down,” IEEE Trans. Syst. Man Cybern. 8 (2), 115–120 (1978).Google Scholar
16.Roberts, P. D. and McCollum, G., “Dynamics of the sit-to-stand movement,” Biol. Cybern. 74 (2), 147–157 (1996).Google Scholar
17.Mak, M. K., Levin, O., Mizrahi, J., Hui-Chan, C. W.et al., “Joint torques during sit-to-stand in healthy subjects and people with parkinsons disease,” Clin. Biomech. (Bristol, Avon) 18 (3), 197–206 (2003).Google Scholar
18.Davoodi, R. and Andrews, B. J., “Computer simulation of fes standing up in paraplegia: A self-adaptive fuzzy controller with reinforcement learning,” IEEE Trans. Rehabil. Eng. 6 (2), 151–161 (1998).CrossRefGoogle ScholarPubMed
19.Winter, D. A., Biomechanics and Motor Control of Human Movement (John Wiley & Sons, 2009).CrossRefGoogle Scholar
20.Craig, J. J., Introduction to Robotics: Mechanics and Control (Prentice Hall, 2004).Google Scholar
21.Raibert, M. H.et al., Legged Robots that Balance, Vol. 3 (MIT press Cambridge, MA, 1986).CrossRefGoogle Scholar
22.Holmes, P., Full, R. J., Koditschek, D. and Guckenheimer, J., “The dynamics of legged locomotion: Models, analyses, and challenges,” Siam Rev. 48 (2), 207–304 (2006).Google Scholar
23.Lai, G., “Rimless wheel,” maplesoft.com. [Online]. Available at: http://www.maplesoft.com/applications/Category.aspx?cid=200&page=7 (2011) (accessed January 5, 2012).Google Scholar
24.Mohan, N., Electric Drives: An Integrative Approach (Minnesota Power Electronics Research & Education (MNPERE), 2003).Google Scholar
25.Tech, V., “Robotics & Mechanisms Laboratory (RoMeLa),” [Online]. Available at: http://www.romela.org/main/Robotics_and_Mechanisms_Laboratory (2011) (accessed January 15, 2012).Google Scholar
26.zu Berlin, H.-U., “Neurorobotics Research Laboratory,” [Online]. Available at: http://www.neurorotik.de/index_en.php (2011) (accessed February 2, 2012).Google Scholar
27.University, M., “Robotics Center,” [Online]. Available at: http://www.idt.mdh.se/rc/ (2012) (accessed January 15, 2012).Google Scholar
28.Procise, “Vernier Caliper,” [Online]. Available at: http://www.rona.ca/shop/~caliper-vernier-procise-344760_hand-tools_shop (2011) (accessed January 10, 2012).Google Scholar
29.L. P. A. Inc., “Starfrit 93016 Electronic Scale,” [Online]. Available at: http://www.starfrit.com/ (2011) (accessed January 10, 2012).Google Scholar
30.Meterman, “Component Testers (LCR55,CR50),” [Online]. Available at: http://www.wavetekmeterman.com/mmusen/products/MM+LCR55+CR50.htm?catalog_name=MetermanUnitedStates (2011) (accessed January 11, 2012).Google Scholar
31.Motor, M., “RE-max 17, 17mm, 4 Watt,” [Online]. Available at: http://shop.maxonmotor.com/ishop/article/article/214897.xml (2011) (accessed December 20, 2011).Google Scholar
32.Ijspeert, A. J., Improvement of the Cheetah Locomotion Control. Master Project. EPFL [Online]. Available at: Biorobotics Laboratory BIOROB (2010).Google Scholar
33.Schuitema, E., Wisse, M., Ramakers, T. and Jonker, P., “The Design of Leo: A 2d Bipedal Walking Robot for Online Autonomous Reinforcement Learning,” Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on, IEEE (2010) pp. 3238–3243.Google Scholar
34.R. Inc., “Robotis e-manual v1.08.00,” [Online]. Available at: http://support.robotis.com/en/ (2011) (accessed Dec. 20, 2011).Google Scholar
35.L. Robotis CO., “Robotis user's manual dynamixel rx-28 v1.10,” [Online]. Available at: http://www.crustcrawler.com/motors/RX28/docs/RX28_Manual.pdf (2011) (accessed Jan. 20, 2012).Google Scholar
36.Dao, T.-S. and McPhee, J., “Dynamic modeling of electrochemical systems using linear graph theory,” J. Power Sources 196 (23), 10 442–454 (2011).Google Scholar
37.Maplesoft, “Maplesim model gallery,” http://www.maplesoft.com/products/maplesim/modelgallery/ (accessed September 30, 2012).Google Scholar
38.Donelan, J., Li, Q., Naing, V., Hoffer, J., Weber, D. and Kuo, A., “Biomechanical energy harvesting: generating electricity during walking with minimal user effort,” Science, 319 (5864), 807–810 (2008).Google Scholar
39.Li, Q., Naing, V., Hoffer, J., Weber, D., Kuo, A. and Donelan, J., “Biomechanical Energy Harvesting: Apparatus and Method,” Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on, IEEE (2008) pp. 3672–3677.Google Scholar
40.Riemer, R. and Shapiro, A., “Biomechanical energy harvesting from human motion: Theory, state of the art, design guidelines, and future directions,” J. Neuroengineering Rehabil. 8 (1), 22 (2011).Google Scholar
41.Elvin, N.G. and Elvin, A.A., “Vibrational energy harvesting from human gait,” IEEE 18 (2), 637 (2013).Google Scholar
42.Huang, H., Merrett, G. V. and White, N. M., “Human-powered inertial energy harvesters: The effect of orientation, location and activity on obtainable power,” Procedia Eng. 25, 815–818 (2011).Google Scholar
43.Kornbluh, R. D., Pelrine, R., Prahlad, H., Wong-Foy, A., McCoy, B., Kim, S., Eckerle, J. and Low, T., “Stretching the Capabilities of Energy Harvesting: Electroactive Polymers Based on Dielectric Elastomers,” Advances in Energy Harvesting Methods (2013) pp. 399–415.Google Scholar
44.Gorlatova, M., Sarik, J., Cong, M., Kymissis, I. and Zussman, G., “Movers and Shakers: Kinetic Energy Harvesting for the Internet of Things,” arXiv preprint arXiv: 1307.0044 (2013).Google Scholar
45.Green, P. L., Papatheou, E. and Sims, N. D., “Energy harvesting from human motion: An evaluation of current nonlinear energy harvesting solutions,” J. Phys.: Conf. Ser. 382 (1), 012023 (2012).Google Scholar
46.Papatheou, E., Green, P., Racic, V., Brownjohn, J. M. W. and Sims, N. D., “A Short Investigation of the Effect of an Energy Harvesting Backpack on the Human Gait,” SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring (2012) pp. 83410F–83410F.Google Scholar
47.Hou, T. C., Yang, Y., Zhang, H., Chen, J., Chen, L. J. and Wang, Z. Lin, “Triboelectric nanogenerator built inside shoe insole for harvesting walking energy,” Nano Energy 2 (5), 856–862 (2013).Google Scholar
48.Berkemeier, M. D. and Fearing, R., “Tracking fast inverted trajectories of the underactuated acrobot,” IEEE Trans. Robot. Autom. 15 (4), 740–750 (1999).Google Scholar