Juho Vihonen
Papers
8
Total Citations
51
H-Index
4
About
Juho Vihonen is a Finnish researcher whose work centers on robotics, sensor fusion, and motion estimation, with particular expertise in MEMS-based inertial sensing systems for multi-body robotic manipulators. His most influential contributions focus on leveraging low-cost microelectromechanical systems (MEMS) rate gyros and linear accelerometers to achieve precise, lag-free motion state estimation in rigid open-chain linkage assemblies — a technically demanding problem with significant implications for industrial robotics and automation. His 2013 paper on geometry-aided angular acceleration sensing stands as his most cited work, accumulating 20 citations, and established a foundation for subsequent research into low-noise angular velocity and acceleration estimation across serial link manipulators. Beyond inertial sensing, Vihonen has demonstrated a broader interest in robotic perception and security systems. His earlier work on classifying metallic objects in walk-through metal detectors using polarizability tensor eigenvalues reflects creative cross-disciplinary thinking. More recently, he has extended his research into vision-based mobile robot control, stereo-vision pose estimation, and flexible-link deformation modeling, addressing real-world challenges in latency, noise, and structural compliance. Across his career, Vihonen has consistently pursued practical, hardware-grounded solutions to complex robotic sensing challenges, making him a notable contributor to the field of applied robotics and embedded sensing.
Research Focus
Key Achievements
Top Papers
- 1
- 2Geometry-aided MEMS motion state estimation for multi-body manipulators9 citations · 2013
- 3
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- 5On Latencies and Noise Effects in Vision-Based Control of Mobile Robots4 citations · 2017
- 6
- 7
- 8Circular deformation estimation for a flexible link2 citations · 2017