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Safe physical human–robot interaction of mobility assistance robots: evaluation index and control

Published online by Cambridge University Press:  02 December 2010

Aslam Pervez  and
Jeha Ryu
Aslam Pervez*
Affiliation:
Informatics Complex, P.O. Box 2191, H-8, Islamabad, Pakistan
Jeha Ryu
Affiliation:
Human-Machine-Computer Interface Lab, Department of Mechatronics, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic Of Korea. E-mail: [email protected]
*
*Corresponding author. E-mails: [email protected], [email protected]
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Summary

Independent mobility is one of the major challenges for elderly. Assistive robots must guarantee user's safety. Existing methods to quantitatively express user's safety are not applicable to mobility assistance robots due to physical attachment. This paper proposes a danger index to estimate user's safety during mobility assistance. The formulation and validation of the index is achieved through extensive subjective and objective experimentation. A motion control method is also introduced that uses the proposed danger index for monitoring user's safety and initiating proper safety actions in case of danger. As an example, experimental results with SpiderBot-II are reported in this paper.

Keywords

Danger indexPhysical human–robot interactionMobility assistanceElderly
Type
Articles
Information
Robotica , Volume 29 , Issue 5 , September 2011 , pp. 767 - 785
Copyright
Copyright © Cambridge University Press 2010

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References

1.OECD Stat Extracts: Country Statistical Profiles, http://stats.oecd.org/wbos/viewhtml.aspx (accessed on Nov. 10, 2007).Google Scholar
2.Harmo, P., Taipalus, T., Knuuttila, J., Vallet, J. and Halme, A., “Needs and Solutions – Home Automation and Service Robots for the Elderly and Disabled,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Canada (2005) pp. 3201–3206.Google Scholar
3.Suzuki, M., Masamune, K., Ji, L. J., Dohi, T. and Yano, H., “Development of a robot arm controlled by force sensors as a walking aid for elderly,” Robotica 16, 537–542 (1998).CrossRefGoogle Scholar
4.Heinzmann, J. and Zelinsky, A., “Quantitative safety guarantees for physical human–robot interaction,” Int. J. Robot. Res. 22 (7–8), 479–504 (2003).CrossRefGoogle Scholar
5.Bicchi, A., Peshkin, M. and Colgate, E., Safety for Physical Human-Robot Interaction (Springer Handbook of Robotics, Springer, Verlag, 2008).CrossRefGoogle Scholar
6.Graf, B., Hans, M. and Schraft, R., “Care-O-bot II-development of a next generation robotic home assistance,” Auton. Robots 16 (2), 193–205 (2004).CrossRefGoogle Scholar
7.Bostelman, R. and Albus, J., “A Multipurpose Robotic Wheelchair and Rehabilitation Device for the Home,” Proceedings of IEEE/RSJ International Conference on Robots and Intelligent Systems, CA, USA (2007) pp. 3348–3353.Google Scholar
8.Gadd, C. W., “Use of Weighted Impulse Criterion for Estimating Injury Hazard,” Proceedings of 10th Stapp Car Crash Conference, New York, USA (1966) pp. 164–174.Google Scholar
9.Versace, J., “A Review of Severity Index,” Proceedings of 15th Stapp Car Crash Conference, New York, USA (1971) pp. 771–796.Google Scholar
10.Ikuta, K., Ishii, H. and Nokata, M., “Safety evaluation method of design and control for human-care robots,” Int. J. Robot. Res. 22 (5), 281–297 (2003).CrossRefGoogle Scholar
11.Bicchi, A. and Tonietti, G., “Fast and soft-arm tactics,” IEEE Robot. Autom. Mag. Jun, 22–33 (2004).CrossRefGoogle Scholar
12.De Luca, A., Albu-Schäffer, A., Haddadin, S. and Hirzinger, G., “Collision Detection and Safe Reaction with the DLR-III Lightweight Manipulator Arm,” Proceedings of Intelligent Robots and Systems, Beijing, China (2006) pp. 1623–1630.Google Scholar
13.Formica, D., Zollo, L. and Guglielmelli, E., “Torque-Dependent Compliance Control in the Joint Space of an Operational Robotic Machine for Motor Therapy,” Proceedings of 9th IEEE International Conference on Rehabilitation Robotics, Chicago, IL, USA (2005) pp. 341–344.Google Scholar
14.Hirzinger, G., Sporer, N., Albu-Schaffer, A., Hahnle, A. and Pascuccu, A., “DLR's Torque Controlled Light Weight Robot III – Are We Reaching the Technical Limits Now?,” Proceedings of IEEE International Conference on Robotics and Automation, Washington, DC, USA (2002) pp. 1710–1716.Google Scholar
15.Kulic, D. and Croft, E. A., “Safe Planning for Human–Robot Interaction,” J. Robot. Syst. 22 (7), 383–396 (2005).CrossRefGoogle Scholar
16.Kulic, D. and Croft, E. A., “Real-time safety for human–robot interaction”, Robot. Auton. Syst. 54 (1), 1–12 (2006).CrossRefGoogle Scholar
17.Lim, H. O. and Tanie, K., “Collision-tolerant control of human-friendly robot with viscoelastic trunk,” IEEE/ASME Trans. Mechatronics 4 (4), 417–427 (1999).Google Scholar
18.Liu, H., Deng, X. and Zha, H., “A Planning Method for Safe Interaction Between Human Arms and Robot Manipulators,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and System, Canada (2005) pp. 2724–2730.Google Scholar
19.Park, J. and Khatib, O., “Multi-link, Multi-contact Force Control for Manipulators,” Proceedings of IEEE International Conference on Robotics and Automation, Spain (2005) pp. 3624–3629.Google Scholar
20.Pervez, A. and Ryu, J. “Active Compliance Control Through Danger Estimate for Safe Physical Human Robot Interaction,” Proceedings of International Conference on Advanced Robots, Korea (2007) pp. 561–566.Google Scholar
21.Salisbury, K., Townsend, W., Eberman, B. and DiPietro, D., “Preliminary Design of a Whole-Arm Manipulation System,” Proceedings of IEEE International Conference on Robotics and Automation, Leuven, Belgium, USA (1988) pp. 254–260.Google Scholar
22.Wosch, T., Neubauer, W., Wichert, G. V. and Kemeny, Z.. “Robot Motion Control for Assistance Tasks,” Proceedings of 11th IEEE International Workshop on Robot and Human Interactive Communication, Berlin, Germany (Sep. 25–27, 2002) pp. 524–529.Google Scholar
23.Yamada, Y., Hirasawa, Y., Huang, S., Umetani, Y. and Suita, K., “Human–robot contact in the safeguarding space,” IEEE/ASME Trans. Mechatronics 2 (4), 230–236 (1997).CrossRefGoogle Scholar
24.Zinn, M., Roth, B., Khatib, O. and Salisbury, J. K., “A new approach for human-friendly robot design,” Int. J. Robot. Res. 23 (4–5), 379–398 (2004).CrossRefGoogle Scholar
25.Zollo, L., Dipietro, L., Siciliano, B., Guglielmelli, E. and Dario, P., “A bio-inspired approach for regulating and measuring visco-elastic properties of a robot arm,” J. Robot. Syst. 22 (8), 397–419 (2005).CrossRefGoogle Scholar
26.Zollo, L., Siciliano, B., Laschi, C., Teti, G. and Dario, P., “An experimental study on compliance control for a redundant personal robot arm,” Robot. Auton. Syst. 44, 101–129 (2003).CrossRefGoogle Scholar
27.Spenko, M., Yu, H. and Dubowsky, S., “Robotic personal aid for mobility and monitoring for the elderly,” IEEE Trans. Neural Syst. Rehabil. Eng. 14 (3), 344–351 (2006).CrossRefGoogle Scholar
28.Chuy, O. Jr., Hirata, Y. and Kosuge, K., “A new control approach for a robotic walking support system in adapting user characteristics,” IEEE Trans. Syst., Man Cybern. – Part C: Appl. Rev. 36 (6), 725–733 (2006).CrossRefGoogle Scholar
29.Chuy, O. Jr., Hirata, Y., Wang, Z. and Kosuge, K., “A control approach based on passive behavior to enhance user interaction,” IEEE Trans. Robot. 23 (5), 899–908 (2007).CrossRefGoogle Scholar
30.Hirata, Y., Hara, A. and Kosuge, K., “Motion Control of Passive Walking Support System Based on Environment Information,” Proceedings of IEEE International Conference on Robotics and Automation, Spain (2005) pp. 2921–2926.Google Scholar
31.Lacey, G. and Dawson-Howe, K. M., “The application of robotics to a mobility aid for the elderly blind,” Robot. Auton. Syst. 23 (4), 245–252 (1998).CrossRefGoogle Scholar
32.Fattah, A., Agrawal, S. K., Catlin, G. and Hamnett, J., “Design of a passive gravity-balanced assistive device for sit-to-stand tasks,” J. Mech. Des. 128, 1122–1129 (2006).CrossRefGoogle Scholar
33.Peshkin, M. A., Brown, D. A., Santose-Munne, J. J., Makhlin, A., Lewis, E., Colgate, J. E., Patton, J. and Schwandt, D., “KineAssist: A Robotic Overground Base and Balance Training Device,” Proceedings of IEEE 9th International Conference on Rehabilitation Robotics, Chicago, IL, USA (2005) pp. 241–246.Google Scholar
34.Pervez, A. and Ryu, J., “Safe physical human robot interaction – past, present and future,” J. Mech. Sci. Technol. 22 (3), 469–483 (2008).CrossRefGoogle Scholar
35.Khatib, O., “Real Time Obstacle Avoidance for Manipulators and Mobile Robots,” Proceedings of IEEE International Conference on Robotics and Automation, IEEE, St. Louis, MO, USA (1985), vol. 2, pp. 500–505.Google Scholar
36.Ryu, J., Kim, B., Farahani, H. S. and Kim, S., “A new silver robot platform for the elderly and the handicapped: SpiderBot-assistance scenario and concept design,” Int. J. Hum.-Friendly Welfare Robot. Syst. 5 (3), 9–16 (2004).Google Scholar
37.Rentscher, A. R., Cooper, R. A., Blasch, V. and Boninger, M., “Intelligent walkers for the elderly: Performance and safety testing of VA-PAMAID robotic walker,” J. Rehabil. Res. Dev. 40 (5), 423–432 (2003).CrossRefGoogle Scholar
38.Dubowsky, S., Genot, F., Godding, S. and Kozono, H., “PAMM-A Robotic Aid to the Elderly for Mobility Assistance and Monitoring: A ‘Helping Hand’ for the Elderly,” Proceedings of IEEE International Conference on Robotics and Automation, CA, USA (2000) pp. 570–576.Google Scholar
39.Pervez, A., Lim, Y. A., Park, J. and Ryu, J., “SpiderBot-II: Design, Control and Posture Balancing Experimentation,” Proceedings of 1st Korean Intelligent Robot Summer Conference, Korea (2006) pp. 288–295.Google Scholar
40.Yu, H., Spenko, M. and Dubowsky, S., “An adaptive shared control system for an intelligent mobility aid for the elderly,” Auton. Robots 15, 53–66 (2003).CrossRefGoogle Scholar
41.Washburn, R. A., Smith, K. W., Jette, A. M. and Janney, C. A., “The physical activity scale for the elderly (PASE): Development and evaluation,” J. Clin. Epidemiol. 46 (2), 153–l62 (1993).CrossRefGoogle ScholarPubMed
42.Pervez, A., Safe and Comfortable Physical Human-Robot Interaction: Evaluation Indices and Control Ph.D. Thesis (Deptt. of Mechatronics, Gwangju Institute of Science and Technology Gwangju, Republic of Korea, 2009).Google Scholar
43.Laufer, Y., “The use of walking aids in the rehabilitation of stroke patients,” Rev. Clin. Gerontology 14 (2), 137–144 (2004).CrossRefGoogle Scholar
44.Schutz, Y., Weinsier, S., Terrierl, P. and Durrerl, D., “A new accelerometric method to assess the daily walking practice,” Int. J. Obesity 26, 111–118 (2002).CrossRefGoogle ScholarPubMed
45.Malki, S., Deepak, G., Mohanna, V., Ringhofer, M. and Spaanenburg, L., “Velocity Measurement by a Vision Sensor,” CIMSA 2006 – IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, La Coruna, Spain (2006).Google Scholar
46.Han, H. S. and Kim, J., “A comparison of screening methods: Selecting important design variables for modeling product usability,” Int. J. Ind. Ergon. 32, 189–198 (2003).CrossRefGoogle Scholar
47.Montgomery, D. C. and Runger, G. C., Applied Statistics and Probability for Engineers (John Wiley & Sons, USA, 1994).Google Scholar
48.Motoji, Y., Yanai, N. and Mohri, A., “Trajectory control of incompletely restrained parallel wire-suspended mechanism based on inverse dynamics,” IEEE Trans. Robot. 20 (5), 840–850 (2004).Google Scholar
49.Pervez, A., Lim, Y. A., Park, H. and Ryu, J., “A New Physical Interaction Control Strategy for Safe and Comfortable Walking Support System,” Proceedings of 2nd Korean Intelligent Robot Summer Conference, Kangwon, Korea (2007) pp. 75–82.Google Scholar
50.Pervez, A., Lim, Y. A., Park, H. and Ryu, J., “Active Synchronized Motion Control for Comfortable Walking Support,” Proceedings of International Conference on Control, Automation and Systems, Seoul, Korea (2007) pp. 2714–2718.Google Scholar