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 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

A probabilistic framework for learning geometry-based robot manipulation skills

Fares J. Abu-Dakka, Yanlong Huang, João Silvério, Ville Kyrki 2021 Robotics and Autonomous Systems

Towards synthesizing grasps for 3D deformable objects with physics-based simulation

Tran Nguyen Le, Jens Lundell, Fares J. Abu-Dakka, Ville Kyrki 2021

Rule-Based Decision-Making System for Autonomous Vehicles at Intersections with Mixed Traffic Environment

Andrei Aksjonov, Ville Kyrki 2021 Proceedings of IEEE International Intelligent Transportation Systems Conference, ITSC 2021

A Novel Soft Robotic Hand Design With Human-Inspired Soft Palm

Haihang Wang, Fares Abu-Dakka, Tran Nguyen Le, Ville Kyrki, He Xu 2021 IEEE ROBOTICS AND AUTOMATION MAGAZINE

Notes on the Behavior of MC Dropout

Francesco Verdoja, Ville Kyrki 2021

DeFINE: Delayed Feedback based Immersive Navigation Environment for Studying Goal-Directed Human Navigation

Kshitij Tiwari, Ville Kyrki, Allen Cheung, Naohide Yamamoto 2021 Behavior Research Methods

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

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

Planning for Safe Abortable Overtaking Maneuvers in Autonomous Driving

Jiyo Palatti, Andrei Aksjonov, Gökhan Alcan, Ville Kyrki 2021 Proceedings of IEEE International Intelligent Transportation Systems Conference, ITSC 2021

Robots and the Future of Welfare Services – A Finnish Roadmap

Marketta Niemelä, Sari Heikkinen, Pertti Koistinen, Kalle Laakso, Helinä Melkas, Ville Kyrki 2021

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