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and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a simulator, and then deploying robots for further training and subsequent testing in lab- or real-world
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-design of morphology and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a simulator and then deploying robots for further training and subsequent testing in
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agencies, and leading global institutions. The PhD Research Fellow will focus on enabling robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through
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. This postdoc position will focus on enabling robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a
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the final exam. Desired qualifications: Experience in areas such as machine learning, computer vision, control sys-tems, perception, control engineering, or autonomous systems Familiarity with ROS (Robot
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collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. The PhD fellow will work on co-design of morphology and control, with an emphasis