Timo Mantere

Papers

Total Citations

H-Index

About

Timo Mantere’s research bridges robotics, manufacturing, and computational imaging, with a focus on enhancing precision in industrial processes. His work in telerobotic surface finishing explores how visuo-haptic feedback and mixed reality can transform remote grinding and finishing tasks, improving operator control and efficiency—a contribution documented in his 2018 survey. Equally innovative is his application of genetic algorithms to strain field analysis, where he developed methods to measure deformations in materials by artificially deforming images from tensile tests. This approach, detailed in his 2007 paper, offers a powerful tool for non-contact deformation measurement. Though each of these key papers has garnered 4 citations, their impact lies in laying foundational ideas for integrating intelligent algorithms and human-robot interaction into manufacturing. Mantere’s work stands out for its interdisciplinary nature, combining robotics, computer vision, and optimization to solve practical challenges in surface finishing and materials testing. His research continues to inspire advances in automated manufacturing and sensor-guided robotic systems.