This paper proposes robot position control using force information for cooperative work between two remote robot systems with force feedback in each of which a user operates a remote robot by using a haptic interface device while observing work of the robot with a video camera. We also investigate the effect of the proposed control by experiment. As cooperative work, we deal with work in which two robots carry an object together. The robot position control using force information finely adjusts the position of the robot arm to reduce the force applied to the object. Thus, the purpose of the control is to avoid large force so that the object is not broken. In our experiment, we make a comparison among the following three cases in order to clarify how to carry out the control effectively. In the first case, the two robots are operated manually by a user with his/her both hands. In the second case, one robot is operated manually by a user, and the other robot is moved automatically under the proposed control. In the last case, the object is carried directly by a human instead of the robot which is operated by the user in the second case. As a result, experimental results demonstrate that the control can help each system operated manually by the user to carry the object smoothly.
References
[1]
Ohnishi, K., Katsura, S. and Shimono, T. (2010) Motion Control for Real-World Haptics. IEEE Industrial Electronics Magazine, 4, 16-19.
https://doi.org/10.1109/MIE.2010.936761
[2]
Miyoshi, T. and Terashima, K. (2006) A Stabilizing Method for Non-Passive Force-Position Teleoperating System. Short report, The 35th SICE Symposium on Control Theory, Japan, 127-130.
[3]
Suzuki, K., Maeda, Y., Ishibashi, Y. and Fukushima, N. (2015) Improvement of Operability in Remote Robot Control with Force Feedback. 2015 IEEE 4th Global Conference on Consumer Electronics, Osaka, Japan, 27-30 October 2015, 16-20.
https://doi.org/10.1109/GCCE.2015.7398509
[4]
Huang, P., Miyoshi, T. and Ishibashi, Y. (2019) Enhancement of Stabilization Control in Remote Robot System with Force Feedback. International Journal of Communications, Network and System Sciences, 12, 99-111.
https://doi.org/10.4236/ijcns.2019.127008
[5]
Taguchi, E., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2018) Experiment on Collaborative Work between Remote Robot Systems with Haptics. IEICE General Conference, B-11-17. (In Japanese)
[6]
Taguchi, E., Ishibashi, Y., Huang, P. and Miyoshi, T. (2020) Comparison of Stabilization Control in Cooperation between Remote Robot Systems with Force Feedback. International Journal of Mechanical Engineering and Robotics Research, 9, 87-92. https://doi.org/10.18178/ijmerr.9.1.87-92
[7]
Arima, R., Huang, P., Ishibashi, Y. and Tateiwa, Y. (2018) Softness Assessment of Object in Remote Robot System with Haptics: Comparison between Reaction Force Control upon Hitting and Stabilization Control. IEICE Technical Report, CQ2017-98. (In Japanese)
[8]
Rikiishi, T., Ishibashi, Y., Huang, P., Miyoshi, T., Ohnishi, H., Tateiwa, Y., et al. (2017) Stabilization Control by Viscosity in Remote Robot System with Haptics. IEICE Society Conference, BS-7-21.
[9]
Qian, Q., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2020) Cooperative Work among Humans and Robots in Remote Robot Systems with Force Feedback: Comparison between Human-Robot and Robot-Robot Cases. 2020 8th International Conference on Information and Education Technology, Okayama, Japan, March 2020, 306-310. https://doi.org/10.1145/3395245.3396418
[10]
Qian, Q., Osada, D., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2018) Human Perception of Force in Cooperation between Remote Robot Systems with Force Feedback. 2018 4th IEEE International Conference on Computer and Communications, Chengdu, China, December, 2018.
[11]
Ishikawa, S., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2019) Effect of Robot Position Control with Force Information for Cooperative Work between Remote Robot Systems. 2019 2nd World Symposium on Communication Engineering, Nagoya, Japan, 20-23 December 2019, 210-214. https://doi.org/10.1109/WSCE49000.2019.9041108
[12]
ITU-T Rec. I. 350 (1993) General Aspects of Quality of Service and Network Performance in Digital Networks.
[13]
ITU-T Rec. G. 100/P. 10 Amendment 1 (2007) New Appendix Idefinition of Quarity of Ecperience (QoE).
[14]
3D Systems Touch. https://www.3dsystems.com/haptics-devices/touch.
[15]
RV-2F Series.
https://www.mitsubishielectric.co.jp/fa/products/faspec/point.do?kisyu=/robot&formNm=RV-2F_RV-2F%28B%29_1, (in Japanese)
[16]
CR750/CR751 Controller.
https://www.mitsubishielectric.co.jp/fa/products/faspec/point.do?kisyu=/robot&formNm=CR75x-Q_CR750-Q_1&category=ex&id=spec, (in Japanese)
[17]
CR750/CR751 Series Controller, CR800 Series Controller Ethernet Function Instruction Manual.
http://dl.mitsubishielectric.co.jp/dl/fa/members/document/manual/robot/bfp-a3379/bfp-a3379b.pdf, (in Japanese)
[18]
Carson, M. and Santay, D. (2003) NIST Net: A Linux-Based Network Emulation Tool. ACM SIGCOMM Computer Communication Review, 33, 111-126.
https://doi.org/10.1145/956993.957007
[19]
Ishikawa, S., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2020) Experiment on Robot Position Control Using Force Information in Cooperation between Remote Robot Systems with Force Feedback. IEICE Technical Report, CQ2020-18. (In Japanese)
[20]
Ishikawa, S., Ishibashi, Y., Huang, P. and Tateiwa, Y. (2020) Effects of Robot Position Control Using Force Information in Remote Robot Systems with Force Feedback: Comparison between Human-Robot and Robot-Robot Cases. 2020 2nd International Conference on Computer Communication and the Internet, Nagoya, Japan, 26-29 June 2020, 179-183. https://doi.org/10.1109/ICCCI49374.2020.9145962
