Max Robotics — Global Service Robot Directory + US Certification

About

Johan Kon is a robotics researcher whose work centers on autonomous systems, state estimation, and machine learning for dynamic environments, with a particular focus on robot soccer. As a key member of the Tech United Eindhoven team, Kon contributed to their Middle-Size League championship victory in 2019, a notable achievement in competitive robotics. His most cited work, "Tech United Eindhoven Middle-Size League Winner 2019" (6 citations), highlights his role in advancing multi-agent coordination and real-time decision-making under high-speed conditions. Kon’s 2018 paper on "Pose and Velocity Estimation for Soccer Robots" (3 citations) presents a novel planar state estimator that fuses camera data, encoders, gyroscopes, and accelerometers using a two-stage Kalman filter with a constant acceleration model. A key innovation is the use of Inflating Noise Variance to handle wheel slip and environmental disturbances, improving robustness in fast-paced scenarios. More recently, his 2022 work on "Vision-Based Machine Learning in Robot Soccer" (2 citations) explores integrating deep learning for perception tasks. Though his citation counts are modest, Kon’s contributions to real-time sensor fusion and robust estimation are valuable for researchers in autonomous robotics, particularly those working on agile, resource-constrained systems.