Papers
6
Total Citations
27
H-Index
3
About
Wouter Houtman is a leading researcher in autonomous robotics, with a primary focus on multi-agent systems, robot soccer, and human-robot interaction. His most impactful work centers on the dynamic control of steerable wheeled mobile platforms, as demonstrated in his highly cited 2021 paper on an eight-wheeled RoboCup Middle Size League soccer robot (9 citations). As a core member of the Tech United Eindhoven team, Houtman contributed to three championship victories (2014, 2019, and 2021), with team papers accumulating over 16 citations. His technical contributions include developing a planar state estimator that fuses camera, encoder, gyroscope, and accelerometer data through a two-stage Kalman filter with Inflating Noise Variance to handle wheel slip—a critical advancement for real-time pose and velocity estimation in competitive robotics. More recently, Houtman has pioneered probabilistic models for predicting human motion intentions from RGBD data, enabling safer and more efficient human-robot navigation. His work bridges the gap between agile multi-robot coordination and socially-aware autonomous systems, making him a notable figure in both competitive robotics and human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Tech United Eindhoven Middle-Size League Winner 20196 citations · 2019
- 3Tech United Eindhoven, Winner RoboCup 2014 MSL5 citations · 2015
- 4Pose and Velocity Estimation for Soccer Robots3 citations · 2018
- 5
- 6Vision-Based Machine Learning in Robot Soccer2 citations · 2022