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Ville Kyrki joined School of Electrical Engineering at Aalto University as an Associate Professor in 2012. He serves as the head of the Intelligent Robotics research group.
His research interests lie mainly in intelligent robotic systems and robotic vision with a particular emphasis on developing methods and systems that cope with imperfect knowledge and uncertain senses. His published research covers feature extraction and tracking in computer vision, visual servoing, tactile sensing, robotic grasping and manipulation, sensor fusion (especially fusion of vision and other senses), planning under uncertainty, and machine learning related to the previous. His research has been published in numerous forums in the area, including IEEE Transactions on Robotics, International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and Artificial Intelligence.
Ville Kyrki joined School of Electrical Engineering at Aalto University as an Associate Professor in 2012. He serves as the head of the Intelligent Robotics research group.
His research interests lie mainly in intelligent robotic systems and robotic vision with a particular emphasis on developing methods and systems that cope with imperfect knowledge and uncertain senses. His published research covers feature extraction and tracking in computer vision, visual servoing, tactile sensing, robotic grasping, sensor fusion (especially fusion of vision and other senses), planning under uncertainty, and machine learning related to the previous. His research has been published in numerous forums in the area, including IEEE Transactions on Robotics, International Journal of Robotics Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Haptics, and IEEE Transactions on Image Processing.
Ville Kyrki was until 2012 a professor in computer science (intelligent robotic systems) at the Department of Information Technology, Lappeenranta University of Technology, Finland, heading the Machine Vision and Pattern Recognition laboratory. He earned his M.Sc. and Ph.D. degrees in Computer Science at Lappeenranta University of Technology in 1999 and 2002, respectively. His doctoral thesis was in the area of computer vision.
Ville Kyrki was until 2012 a professor in computer science (intelligent robotic systems) at the Department of Information Technology, Lappeenranta University of Technology, Finland, heading the Machine Vision and Pattern Recognition laboratory. He earned his M.Sc. and Ph.D. degrees in Computer Science at Lappeenranta University of Technology in 1999 and 2002, respectively. His doctoral thesis was in the area of computer vision.
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Scientific boards and societies
Ville serves in the Conference Editorial Board of IEEE Robotics and Automation Society (RAS). He is the founding chair of the IEEE Finland Joint Chapter of Control Systems, Robotics & Automation, and Systems, Man, and Cybernetics Societies, and served IEEE Finland Section as a Treasurer 2012-2013. During 2008-2013, Ville was a chair of the Computer & Robot Vision Technical Committee of the IEEE Robotics & Automation Society (RAS) and a member of the RAS Technical Activities Board. In 2014-2015, he was a member in the Governing Board of Finnish Robotics Society
Research projects
Ville has lead several major national and international research projects, including ROSE (Robots and Future of Welfare Services, Academy of Finland Strategic Research Council, 2015-2021), Human Brain Project (Neuro-robotics sub-project, EU FP7 FET Flagship, 2016-2022), Artificial Spider Threading (Academy of Finland, 2018-2021), DEEPEN (Deep reinforcement learning for physical agents, Academy of Finland, 2018-2019), Cognitive Collaborative Robots (industry and Finnish Agency for Technology and Innovation, 2017-2019), SEASPIDER (Cooperative heavy-duty hydraulic manipulators, 2015-2018), RECONFIG (Cognitive, Decentralized Coordination of Heterogeneous Multi-Robot Systems via Reconfigurable Task Planning, EU FP7, PI), Multi-Modal Programming by Demonstration for Natural and Flexible Automation, (2013–2015, Academy of Finland, PI), Symbol Grounding from Uncertain Measurements (2012–2015, Academy of Finland, PI), GRASP (Emergence of Cognitive Grasping Through Emulation, Introspection and Surprise, 2008–2012, EU FP7, PI), Multisensor tracking and mapping (2007–2009, Academy of Finland, PI), TACVISION (Integration of visual and tactile information in robotics, 2005–2009, Finnish Funding Agency for Technology and Innovation, co-PI, and Active Computer Vision for Visual Servoing, 2003–2004, Academy of Finland, PI).
Other selected scientific activities
Scientific boards and societies
Ville serves in the Conference Editorial Board of IEEE Robotics and Automation Society (RAS) and in the Governing Board of Finnish Robotics Society. He is the founding chair of the IEEE Finland Joint Chapter of Control Systems, Robotics & Automation, and Systems, Man, and Cybernetics Societies, and served IEEE Finland Section as a Treasurer 2012-2013. During 2008-2013, Ville was a chair of the Computer & Robot Vision Technical Committee of the IEEE Robotics & Automation Society (RAS) and a member of the RAS Technical Activities Board.
Research projects
Ville has lead several major national and international research projects, including RECONFIG (Cognitive, Decentralized Coordination of Heterogeneous Multi-Robot Systems via Reconfigurable Task Planning, EU FP7, PI), Multi-Modal Programming by Demonstration for Natural and Flexible Automation, (2013–2015, Academy of Finland, PI), Symbol Grounding from Uncertain Measurements (2012–2015, Academy of Finland, PI), GRASP (Emergence of Cognitive Grasping Through Emulation, Introspection and Surprise, 2008–2012, EU FP7, PI), Multisensor tracking and mapping (2007–2009, Academy of Finland, PI), TACVISION (Integration of visual and tactile information in robotics, 2005–2009, Finnish Funding Agency for Technology and Innovation, co-PI, and Active Computer Vision for Visual Servoing, 2003–2004, Academy of Finland, PI).
Other selected scientific activities