Markus Burkardt

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Achieving autonomy for robots involves building algorithms for the robots to localize themselves as well as map the environment around them. This problem, called Simultaneous Localization and Mapping (SLAM), has received significant attention in robotics literature. Traditionally, SLAM algorithms represent maps as gigantic matrices (occupancy grids) [3].(More)
The CUAUV Killick is a new littoral autonomous underwater vehicle (AUV) developed by a team of undergraduate students at Cornell University. Built in a ten month design cycle, the vehicle was fully modeled using CAD software and manufactured almost entirely in-house. With a number of new innovations, Killick presents a smaller, lighter, and more agile(More)
The CUAUV Drekar is a new littoral autonomous underwater vehicle (AUV) developed by a team of students at Cornell University. Built in a ten month design cycle, the vehicle was fully modeled using CAD software and manufactured almost entirely in-house. With a number of new innovations, Drekar presents a smaller, lighter, more agile platform with increased(More)
The CUAUV Ragnarök is a new littoral autonomous underwater vehicle (AUV) developed by a team of undergraduate students at Cornell University. Built in a ten month design cycle, the vehicle was fully modeled using CAD software and manufactured almost entirely in-house. With a number of new innovations, Ragnarök presents a stronger, lighter, and more agile(More)
CUAUV Gemini is the new 2013-2014 autonomous underwater vehicle (AUV) designed and built by a team of 40 undergraduate students at Cornell University. Completed in a ten month design cycle, the vehicle was fully modeled using CAD software, extensively simulated with ANSYS, and manufactured almost entirely in-house. With 15 years of aggregate research and(More)
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