Christoph Heermann

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This paper describes the team strategy of the robot soccer team of the Dortmund University. Key features are a simple but robust mechanical design, the use of omnidirectional view and motion and the implementation of Monte Carlo techniques in image understanding, sequential sensor integration and motion planning. The mechanical construction is inspired by(More)
We present a new adaptive algorithm for convex quadratic multi-criteria optimization. The algorithm is able to adaptively refine the approximation to the set of efficient points by way of a warm-start interior-point scalarization approach. Numerical results show that this technique is faster than a standard method used for this problem.
We present a new primal-dual algorithm for convex quadratic multicriteria optimization. The algorithm is able to adaptively refine the approximation to the set of efficient points by way of a warm-start interior-point scalarization approach. Results of this algorithm when applied on a three-criteria real-world power plant optimization problem are reported,(More)
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