معرفی
Eelis Peltola is a Doctoral Researcher at the Department of Energy and Mechanical Engineering under the School of Engineering, specializing in mechatronics and robotics. Their work integrates sensor fusion, neural networks, and control systems to solve engineering challenges in autonomous and mechatronic systems.
- Current Role: Doctoral Researcher, Mechatronics
- Department: Energy and Mechanical Engineering
- School: School of Engineering
Research Focus: Eelis's research centers on robotics, mechatronics, and sensor fusion, particularly for heavy-duty vehicles and robotic arms. They apply neural networks and low-cost IMUs to improve terrain segmentation, localization, and attitude estimation in off-road applications.
Publication Trends: Their recent work (2017–2022) emphasizes inertial measurement unit (IMU) applications, convolutional neural networks, and sensor fusion algorithms for robotics, with interdisciplinary links to computer science and control systems.
