Abstract
In this paper, we propose an effective approach to detect the directional bias of walking four-legged robots. We found that light weight four-legged robots tend to have unstable directional bias even when walking on flat ground, thus this approach is designed to be able to dynamically and continuously detect the directional bias. By observing and analyzing data from acceleration sensors of AIBO robots, we found the relational model between the acceleration data and the walking gaits by which we may utilize to develop an ideal gait based approach to detect directional bias. In order to make sure the correctness of our approach, several experiments were designed and executed. As a result, we can correctly detect the direction of bias within five gaits, and the correct rate of single gait can be up to 90%.
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References
Wijbenga, A., van de Sanden, M.: How To Make AIBO Do Tricks, University of Groningen, Netherlands (2004)
Hengst, B., Ibbotson, D., Pham, S.B., Sammut, C.: The UNSW United 2000 Sony Legged Robot Software System, University of New South Wales? Australia (2000)
Vail, D., Veloso, M.: Learning from Accelerometer Data on a Legged Robot, Computer Science Department, Carnegie Mellon University (2004)
Serra, F., Baillie, J.-C.: Aibo programming Using OPEN-R SDK. Tutorial, ENSTA, France (2003)
Rico, F.M., González-Careaga, R., María, J., Plaza, C., Olivera, V.M.: Programming Model Based on Concurrent Objects for the AIBO Robot, Universidad Rey Juan Carlos (2004)
Bekey, G.A.: Autonomous Robots From Biological Inspiration fo Implementation and Control. The MIT Press, Cambridge, Massachusetts (2005)
Liu, H., Pang, G.: Accelerometer for Mobile Robot Positioning. In: Proc. Of the 1999 IEEE Industry Applications Society Conference (October 3-7, 1999)
Schmiedeler, J.P., Waldron, K.J.: The Mechanics of Quadrupedal Galloping and the Future of Legged Vehicles. The International Journal of Robotics Research 18(12), 1224–1234 (1999)
Toyomasu, M., Shinohara, A.: DEVELOPING DYNAMIC GAITS FOR FOUR LEGGED ROBOTS. In: The International Symposium on Information Science and Electrical Engineering, pp. 577–580 (2003)
Cho, S.Y., Park, C.G., Jee, G.I.: Measurement System of Walking Distance Using Low-cost Accelerometers. In: The 4th Asian Control Conference, Singapore, pp. 1799–1803 (September 2002)
Sony Corporation, OPEN-R SDK (2004)
Sven Westermark, Programming tools for AIBO (2005)
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© 2007 Springer-Verlag Berlin Heidelberg
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Huang, DJ., Teng, WC. (2007). A Gait Based Approach to Detect Directional Bias of Four-Legged Robots’ Direct Walking Utilizing Acceleration Sensors. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_86
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DOI: https://doi.org/10.1007/978-3-540-74827-4_86
Publisher Name: Springer, Berlin, Heidelberg
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