معرفی
Pekka Forsman is a University Lecturer at Aalto University's Department of Electrical Engineering and Automation. His research focuses on robotics, autonomous systems, dynamic modeling, and motion planning. He has contributed to advancing robot dynamics, obstacle-crossing capabilities, and localization systems for both industrial and forest applications. His work spans theoretical modeling and practical implementations in areas like ball-shaped robots, climbing robots, and forest harvester automation.
Key research interests include gyroscopic effects in robot motion, decoupled dynamic models for pendulum-driven systems, and simultaneous localization and mapping (SLAM) techniques. He has collaborated on educational initiatives to enhance working life competencies through project-based learning in master's programs.
Notable contributions include publications on obstacle-negotiation for ball-shaped robots, multi-step motion planning under kinodynamic constraints, and tree measurement systems for forestry. His research groups include the Autonomous Systems team. He actively publishes in robotics and automation conferences such as IEEE International Conference on Robotics and IASTED Robotics Applications.
Professional activities include developing educational methodologies for engineering students and advancing SLAM technologies for real-world robotics applications in challenging environments like forests and industrial settings.
