Ville Kyrki

Ville Kyrki

Professori (Associate professor)
T410 Dept. Electrical Engineering and Automation
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 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, 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

Contact information

Postal address
Maarintie 8 02150 Espoo Finland
Phone number

Research groups

  • Intelligent Robotics


POMDP Planning Under Object Composition Uncertainty

Joni Pajarinen, Jens Lundell, Ville Kyrki 2023 IEEE Transactions on Robotics

Co-Imitation: Learning Design and Behaviour by Imitation

Chang Rajani, David Blanco Mulero, Karol Arndt, Kevin Luck, Ville Kyrki 2023 Thirty-Seventh AAAI Conference on Artificial Intelligence

Autoencoding Slow Representations for Semi-supervised Data-Efficient Regression

Oliver Struckmeier, Kshitij Tiwari, Ville Kyrki 2023 Machine Learning

Online vs. Offline Adaptive Domain Randomization Benchmark

Gabriele Tiboni, Karol Arndt, Giuseppe Averta, Ville Kyrki, Tatiana Tommasi 2023 Human-Friendly Robotics 2022 - HFR

Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Harri Aaltonen, Seppo Sierla, Ville Kyrki, Mahdi Pourakbari‐kasmaei, Valeriy Vyatkin 2022 Energies

Differential Dynamic Programming with Nonlinear Safety Constraints Under System Uncertainties

Gökhan Alcan, Ville Kyrki 2022 IEEE Robotics and Automation Letters

Social Robot Co-Design Canvases

Minja Axelsson, Raquel Oliveira, Mattia Racca, Ville Kyrki 2022 ACM Transactions on Human-Robot Interaction

Training and Evaluation of Deep Policies Using Reinforcement Learning and Generative Models

Ali Ghadirzadeh, Petra Poklukar, Karol Arndt, Chelsea Finn, Ville Kyrki, Danica Kragic, Mårten Björkman 2022 Journal of Machine Learning Research

Learning Visual Feedback Control for Dynamic Cloth Folding

Julius Hietala, David Blanco Mulero, Gökhan Alcan, Ville Kyrki 2022 Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022