Marco Karrer

Computer Vision Engineer @ Hexagon AB

About Marco Karrer

Marco Karrer is a Computer Vision Engineer currently working at Hexagon AB, where he develops algorithms for Simultaneous Localization and Mapping (SLAM). He has an extensive academic background, including a PhD in Robotics and experience as a postdoctoral researcher at ETH Zürich.

Work at Hexagon AB

Marco Karrer has been employed at Hexagon AB as a Computer Vision Engineer since 2021. He works at the Hexagon Technology Center, where he focuses on developing computer vision applications. His role involves creating algorithms that enhance the capabilities of computer vision systems, particularly in the context of Simultaneous Localization and Mapping (SLAM).

Education and Expertise

Marco Karrer has a strong educational background in engineering and robotics. He earned a Bachelor of Science in Mechanical Engineering from ZHAW School of Engineering from 2009 to 2012. He then pursued advanced studies at ETH Zürich, where he completed a Master of Science in Mechanical Engineering from 2014 to 2016 and a Doctor of Philosophy in Robotics from 2016 to 2020. His academic training has equipped him with expertise in computer vision and robotics.

Background

Marco Karrer began his career in the engineering field at Gewerblich-industrielle Berufsschule Liestal, where he studied Mechanics and Repairers, achieving a qualification as a Polymechanic from 2004 to 2008. He then worked as a Mechanic at Aluminium Laufen AG from 2008 to 2009 before transitioning to academic roles. He served as a Research Assistant at ZHAW School of Engineering from 2012 to 2014, gaining valuable research experience.

Research Experience at ETH Zürich

Marco Karrer held two significant research positions at ETH Zürich. He was a PhD Candidate from 2016 to 2020, focusing on advanced topics in robotics. Following this, he worked as a Postdoctoral Researcher for eight months in 2020 to 2021. His research during this period contributed to the development of algorithms for Simultaneous Localization and Mapping (SLAM), integrating camera images with inertial data.

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