Ville Kyrki

Ville Kyrki

Professori (Associate professor)
Dept of Electr Engin and Autom
Professori (Associate professor)

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.

Full researcher profile
https://research.aalto.fi/...

Contact information

Postal address
Maarintie 8 02150 Espoo Finland
Phone number
+358504082035

Research groups

  • Intelligent Robotics

Publications

Probabilistic Surface Friction Estimation Based on Visual and Haptic Measurements

Tran Nguyen Le, Francesco Verdoja, Fares J. Abu-Dakka, Ville Kyrki 2021 IEEE Robotics and Automation Letters

Imitation learning-based framework for learning 6-D linear compliant motions

Markku Suomalainen, Fares Abu-Dakka, Ville Kyrki 2021 Autonomous Robots

Static Stability of Robotic Fabric Strip Folding

Vladimir Petrík, Vladimír Smutný, Ville Kyrki 2020 IEEE-ASME TRANSACTIONS ON MECHATRONICS

Hypermap Mapping Framework and its Application to Autonomous Semantic Exploration

Tobias Zaenker, Francesco Verdoja, Ville Kyrki 2020 Proceedings of the 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2020

On the Potential of Smarter Multi-layer Maps

Francesco Verdoja, Ville Kyrki 2020

Deep Network Uncertainty Maps for Indoor Navigation

Francesco Verdoja, Jens Lundell, Ville Kyrki 2020 Proceedings of the 2019 IEEE-RAS International Conference on Humanoid Robots, Humanoids 2019

Interactive Tuning of Robot Program Parameters via Expected Divergence Maximization

Mattia Racca, Ville Kyrki, Maya Cakmak 2020 Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, HRI'20

Safe Grasping with a Force Controlled Soft Robotic Hand

Tran Nguyen Le, Jens Lundell, Ville Kyrki 2020 Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020

Impacts of robot implementation on care personnel and clients in elderly-care institutions

Helinä Melkas, Lea Hennala, Satu Pekkarinen, Ville Kyrki 2020 International Journal of Medical Informatics

Beyond Top-Grasps Through Scene Completion

Jens Lundell, Francesco Verdoja, Ville Kyrki 2020 Proceedings of the IEEE Conference on Robotics and Automation, ICRA 2020