Olli Koskelainen

Papers

Total Citations

H-Index

About

Olli Koskelainen is a robotics researcher whose work centers on safe and reliable autonomous navigation, with a particular focus on differential drive mobile robots. His most-cited contribution, "Reactive Safe Path Following for Differential Drive Mobile Robots Using Control Barrier Functions" (2022), addresses a critical challenge in robotics: ensuring that a robot can follow a desired path while dynamically avoiding obstacles. Koskelainen’s key innovation lies in the integration of Control Lyapunov Functions (CLFs) and Control Barrier Functions (CBFs), a formal framework that mathematically guarantees both convergence to a path and collision avoidance in real-time. This work, which has garnered 8 citations, is notable for its reactive, computationally efficient approach, making it suitable for resource-constrained platforms. By bridging theoretical control theory with practical mobile robotics, Koskelainen has contributed to the development of safer, more dependable autonomous systems. His research is particularly relevant for applications in warehouse logistics, service robots, and autonomous vehicles, where safety guarantees are paramount. Through his rigorous, safety-critical approach, Koskelainen is helping to advance the frontier of trustworthy robot navigation.