Bartosz Jachnik
Papers
3
Total Citations
81
H-Index
2
About
Bartosz Jachnik is a researcher at the forefront of autonomous systems and robotics for extreme environments, with a primary focus on mining and underground operations. His work centers on developing intelligent diagnostic and localization solutions that enhance safety and efficiency in hazardous conditions where human presence is risky. Jachnik’s major contributions include pioneering the use of acoustic signal analysis collected by autonomous legged inspection robots for diagnosing belt conveyor rollers—a critical innovation for predictive maintenance in deep mines. His most cited paper (2021, 59 citations) demonstrates how legged robots can safely monitor equipment in environments with high temperatures, toxic gases, and seismic activity. Additionally, he has advanced underground vehicle localization by applying the Dynamic Time Warping (DTW) algorithm to inertial sensor data from LHD machines (20 citations), enabling pattern recognition of route segments from vibration signatures. Jachnik has also explored terrain classification for wheeled robots using neural networks and inertial sensors. His work bridges robotics, signal processing, and mining engineering, offering practical solutions that reduce human exposure to danger while improving operational reliability in the world’s most challenging industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3