Abstract
The use of robots in the industrial environment is becoming increasingly popular. In this paper we suggest that from the viewpoint of interacting and mobile robots it is useful to develop motion analysis techniques based on two dimensional imaging information. We present a brief review of the existing motion estimation techniques, and then propose a new technique based on the use of perturbation analysis and optimal control theory. The techniques we present have the characteristic that they treat the case of time-varying parameters, do not require apriori knowledge of the structure of the time dependence, and can handle a number of frames simultaneously. We motivate our presentation by a real world experiment and present results to validate the methodology presented.
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Sood, A., Tseng, Gj. (1989). Motion Parameter Estimation for Robot Application. In: Pieroni, G.G. (eds) Issues on Machine Vision. International Centre for Mechanical Sciences, vol 307. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2830-5_20
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DOI: https://doi.org/10.1007/978-3-7091-2830-5_20
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