Jonas Hagge
Papers
1
Total Citations
7
H-Index
1
About
Jonas Hagge is a researcher at the intersection of robotics, computer vision, and autonomous systems, with a particular focus on enabling robust perception for humanoid robots in dynamic, real-world environments. His most-cited work, "An Open Source Vision Pipeline Approach for RoboCup Humanoid Soccer" (2019, 7 citations), represents a significant contribution to the RoboCup community by providing a modular, accessible framework for real-time object detection and localization. This pipeline addresses the critical challenge of visual perception under the constraints of limited onboard processing power and fast-paced game scenarios, allowing humanoid robots to track balls, goals, and teammates more reliably. By open-sourcing his approach, Hagge has lowered the barrier for other teams to replicate and build upon his methods, fostering collaborative advancement in the field. His work not only demonstrates technical proficiency in computer vision and embedded systems but also highlights a commitment to reproducible research and community-driven development—a hallmark of impactful engineering in robotics.
Research Focus
Key Achievements
Top Papers
- 1An Open Source Vision Pipeline Approach for RoboCup Humanoid Soccer7 citations · 2019