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Sagar, J. (author), Visser, A. (author)
For Micro Aerial Vehicles (MAVs), robust obstacle avoidance during flight is a challenging problem because only light weight sensors as monocular cameras can be mounted as payload. With monocular cameras depth perception cannot be estimated from a single view, which means that information has to be estimated by combining images from multiple...
conference paper 2014
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Methenitis, G. (author), De Kok, P.M. (author), Nugteren, S. (author), Visser, A. (author)
In this paper an extension of the model-based visual compass is presented, which can be updated continuously, allowing a robot to orient itself in a changing environment. To build a model, colors in the image are discretized to an automatically generated color profile, and transitions between these classes within vertical lines are used as...
conference paper 2013
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Girardi, N. (author), Kooijman, C. (author), Wiggers, A.J. (author), Visser, A. (author)
This paper describes a framework for optimizing walking parameters for a Nao humanoid robot. In this case an omnidirectional walk is learned. The parameters are learned in simulation with an evolutionary approach. The best performance was obtained for a combination of a low mutation rate and a high crossover rate.
conference paper 2013
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Visser, A.J. (author)
conference paper 2013
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Visser, A. (author), Dijkshoorn, N. (author), Van der Veen, M. (author), Jurriaans, R. (author)
This article describes a method to develop an advanced navigation capability for the standard platform of the IMAV indoor competition: the Parrot AR.Drone. Our development is partlybased on simulation, which requires both a re-alistic sensor and motion model. This article de-scribes how a visual map of the indoor environ-ment can be made,...
conference paper 2011
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