Papers
117
Total Citations
2,411
H-Index
27
About
Ville Kyrki is a prominent robotics researcher whose work spans robot manipulation, human-robot interaction, and the integration of robotic technologies into real-world settings. Based at Aalto University, Kyrki has made foundational contributions to robotic grasping and manipulation, particularly in developing methods for assessing grasp stability using haptic data and machine learning (189 citations), and in teaching robots task-specific constraints through graphical models (109 citations). His research on in-contact manipulation—exploring how robots can learn and execute force-sensitive tasks from human demonstration—has become increasingly influential, culminating in a widely read survey on contact-rich manipulation (137 citations). Kyrki has also advanced soft robotic hand design, developing human-inspired gripper architectures capable of remarkable grasping diversity (69 citations). Beyond hardware and control, his work extends meaningfully into social and assistive robotics: his study on care robots in elderly institutions (181 citations) and his participatory design framework for social robots (79 citations) demonstrate a rare commitment to understanding and shaping real-world deployment. Together, his body of work—spanning perception, planning under uncertainty, learning from demonstration, and socially responsible design—marks him as a uniquely versatile figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1Assessing Grasp Stability Based on Learning and Haptic Data189 citations · 2011
- 2
- 3A survey of robot manipulation in contact137 citations · 2022
- 4Learning task constraints for robot grasping using graphical models109 citations · 2010
- 5Social Robot Co-Design Canvases: A Participatory Design Framework79 citations · 2021
- 6
- 7Learning in-contact control strategies from demonstration57 citations · 2016
- 8Robotic manipulation of multiple objects as a POMDP56 citations · 2015
- 9
- 10