Daniel Horváth is an experienced researcher and engineer with a strong background in robotics, deep learning, and manufacturing systems. Currently serving as a Research Associate at SZTAKI since July 2016, Daniel's research focuses on robotics and various learning approaches. Prior roles include System Engineer at SZTAKI, where work involved addressing challenges in Cyber-Physical Production Systems, and earlier positions at European Knowledge Centre Ltd. as an AI Engineer, contributing to projects related to autonomous mobile robots. Daniel also has substantial experience in academia, having served as a Teaching Assistant at Budapest University of Technology and Economics and pursuing advanced degrees in Computer Science. Daniel holds multiple degrees, including a Master of Science in Mechatronics and a Bachelor of Science in the same field, and is currently working on PhD studies at Eötvös Loránd University.
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