Jarmo Ilonen

Lappeenranta-Lahti University of Technology

Papers

Total Citations

131

H-Index

About

Jarmo Ilonen is a leading researcher in robotic perception, specializing in the fusion of visual and tactile sensing for three-dimensional object reconstruction. His most impactful work addresses a fundamental challenge in robotics: how to enable a robot to build a complete 3-D model of an unknown object during the act of grasping. In his highly cited 2013 papers, Ilonen pioneered methods that combine a single visual view with tactile data acquired by the robot’s gripper, leveraging object symmetry to generate a full shape hypothesis. These contributions, garnering 54 and 50 citations respectively, have been instrumental in advancing autonomous manipulation and scene understanding. Ilonen also made significant strides in robotic vision calibration, introducing a robust technique for determining the relative poses between a robot’s base frame and its cameras—a critical prerequisite for precise physical interaction. His work bridges the gap between sensing and action, providing foundational tools for robots to perceive and interact with their environment more intelligently. Ilonen’s research continues to influence the fields of computer vision, haptics, and robotic grasping, making him a key figure in the development of more autonomous and perceptive robotic systems.