Pauli Mustalahti
Papers
6
Total Citations
23
H-Index
3
About
Pauli Mustalahti is a robotics and control systems researcher whose work spans hydraulic manipulator control, mobile robot navigation, and vision-based sensing for heavy-duty robotic systems. His research addresses the complex challenges inherent in large-scale, industrial robotic platforms operating in demanding environments such as mining and construction. Mustalahti's most recognized contribution — his 2017 work on stability-guaranteed anti-sway control for redundant articulated hydraulic manipulators (9 citations) — tackled the difficult problem of controlling passive joints at a manipulator's end-effector, a persistent challenge in commercial heavy-lift systems. Complementing this, his research on hydraulic in-wheel drive systems for mobile robots (6 citations) advances robust torque control with safety-conscious input-output constraints, improving the reliability of heavy-duty wheeled platforms. A consistent thread through Mustalahti's work is precise localization and sensing. His contributions to visual tool center point estimation, camera-to-kinematic calibration, and LiDAR-inertial SLAM-based navigation collectively push the boundaries of perception and positioning for long-reach and skid-steer robotic systems. His more recent integration of AI-driven control with rigorous safety standards reflects a forward-looking research agenda. Though an emerging researcher by citation volume, Mustalahti's work addresses genuinely difficult, industry-relevant problems in robotic automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6