Martin Böhnert

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— Humanoid soccer serves as benchmark problem for artificial intelligence research and robotics. Every year, more teams are competing, e.g., in the RoboCup Humanoid league. As the robots manage the basic skills of walking, kicking, and getting up better, teams can focus on soccer skills and team coordination. The complexity of soccer behaviors and team play(More)
This document describes the RoboCup Humanoid League as required by the qualification procedure for the competition to be held in Suzhou, China, in July 2008. Our team uses self-constructed robots for playing soccer. The paper describes the mechanical and electrical design of the robots. It also covers the software used for perception, and behavior control.
—In this work we describe a new memory management concept which allows the use of both virtual and dynamic memory management at the same time in the context of real-time systems. For a fixed size of the virtual address space, the operations of memory allocation, de-allocation and access have a constant complexity. Therefore our approach is highly suited for(More)
This document describes the RoboCup Humanoid League as required by the qualification procedure for the competition to be held in Suzhou, China, in July 2008. Our team uses self-constructed robots for playing soccer. The paper describes the mechanical and electrical design of the robots. It also covers the software used for perception and behavior control.
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