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Ola Ringdahl is an Associate Professor at Umeå University in the Department of Computing Science. His research focuses on agricultural forestry robotics, specifically the development of novel artificial intelligence (AI) algorithms, machine learning (ML) techniques, and software architectures. He directs the MSc program in AI and teaches several courses. His research qualifications include being recognized as a university teacher. His primary research interests involve the design and implementation of algorithms for mobile robots, path planning in unconstrained outdoor environments, and human-robot collaboration. Ringdahl has actively participated in various EU projects that explore autonomous robots for agricultural applications, such as harvesting fruits and sweet peppers. He is also engaged in developing perception algorithms for extracting semantic information from innovative sensory data, including computer vision and processing data from non-visual sensors like laser scanners and GPS. Ringdahl is a member of the Intelligent Robotics research group and has contributed to multiple research projects including Collaborative Robotics Lab and the SOCRATES initiative.
Umeå University • MIT-huset, Umeå universitet
Research and teaching in the field of artificial intelligence and robotics.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.