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New methods to generate and analyze motions of humanoid robots are presented and applied to a demonstrator. Reflexes of humans and neural central pattern generators (CPGs) were used as archetype. With leaky Integrate-and-Fire neurons a generic reflex template was designed and put to work for several specialized reflexes. The designed CPGs were used to analyze robotik motion as well as for generation of locomotion patterns on a biped demonstrator.
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Motivated by the future Internet Protocol (IP) based aeronautical telecommunications network supporting air traffic control communications, this thesis specifies a route optimization protocol for Network Mobility (NEMO) that is both secure and efficient.Furthermore, a new certificate model is defined that is particularly suitable for the aeronautical environment.The improvements of the new concepts in terms of security and efficiency are demonstrated and compared to the state of the art.
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