Titlebook: Algorithmic Foundations of Robotics VI; Michael Erdmann,Mark Overmars,Frank der Stappen Book 2005 Springer-Verlag Berlin Heidelberg 2005 D

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Algorithmic Challenges in Structural Molecular Biology and Proteomics,ric Algorithms (PGA) arise in developing and applying information technology to understand the molecular machinery of the cell. Our recent work (e.g., [1-20]) shows that many PGA techniques may be fruitfully applied to the challenges of computational molecular biology. PGA research may lead to compu

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Algorithmic Foundation of the Clockwork Orange Robot Soccer Team,ect we study multi-robot collaboration, robot vision and robot control. Our research focus, overviewed in this paper, is on automatic calibration for robust colour segmentation, behaviour based robotics and reinforcement trained dribbling with the ball.

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Sampling-Based Motion Planning under Kinematic Loop-Closure Constraints, mechanisms do not form a single manifold, easy to parameterize, as the configurations of open kinematic chains. In general, they are grouped into several subsets with complex and a priori unknown topology. Sampling-based motion planning algorithms cannot be directly applied to such closed-chain sys

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Online Searching with an Autonomous Robot,ask is closely related to a number of well-studied problems. Our robot uses a three-dimensional laser scanner in a stop, scan, plan, go fashion for building a virtual three-dimensional environment. Besides planning trajectories and avoiding obstacles, Kurt3D is capable of identifying objects like a

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