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Machine Learning for Optimization
Machine Learning for Optimization
Seungsu Kim is a senior research scientist in the Embodied AI group. He received his Ph.D. in robotics from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, in 2014.
He was a researcher with the Center for Cognitive Robotics Research, Korea Institute of Science and Technology (KIST), Korea, from 2005 to 2009. He completed his two postdoctoral researches with the Neuroinformatics Group, CITEC, Bielefeld University (from 2014 to 2016) and with ISIR, Sorbonne University (from 2016 to 2018).
Seungsu Kim worked for Dyson in the UK as a senior robotics engineer from 2018 to 2019. He joined NAVER LABS Europe in 2019.
He was a researcher with the Center for Cognitive Robotics Research, Korea Institute of Science and Technology (KIST), Korea, from 2005 to 2009. He completed his two postdoctoral researches with the Neuroinformatics Group, CITEC, Bielefeld University (from 2014 to 2016) and with ISIR, Sorbonne University (from 2016 to 2018).
Seungsu Kim worked for Dyson in the UK as a senior robotics engineer from 2018 to 2019. He joined NAVER LABS Europe in 2019.
In 2015, he was awarded the IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award.
His main research interests are in machine learning techniques for autonomous robotic manipulation.