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RoboPrism, a framework that supports software-architecture-based development of robotic systems, is accessible to nonexperts in robotics, deals effectively with heterogeneity in distributed and mobile robotics systems, and facilitates adaptation in complex, dynamic environments.
Testing and gauging Autonomous Underwater Vehicle (AUV) missions through observations and experimental trials prove to be time consuming and costly. A system capable of verifying the AUV control models prior to practical test is needed. One of the key aspects in the presented framework is AUV modeling which mainly covers the area of AUV dynamics. Based on this designed simulation framework, custom...
Navigation in unknown dynamic environments still remains a major challenge in robotics. Whereas insects like the desert ant with very limited computing and memory capacities solve this task with great efficiency. Thus, the understanding of the underlying neural mechanisms of insect navigation can inform us on how to build simpler yet robust autonomous robots. Based on recent developments in insect...
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