Tim Sinen
Papers
1
Total Citations
3
H-Index
1
About
Tim Sinen is a leading researcher in humanoid robotics, with a primary focus on real-time visual perception, dynamic locomotion, and agile manipulation for bipedal systems. As a key contributor to the NimbRo team, he played a central role in their victory at the RoboCup 2023 Humanoid AdultSize competition, where his work on NimbRoNet3—a lightweight convolutional neural network for onboard visual perception—enabled rapid ball detection and field localization. His development of a responsive gait controller with waveform-based in-walk kicks allowed the robot to execute precise, high-speed kicks during dynamic gameplay, a breakthrough in balancing stability and agility. This work, detailed in his most-cited paper, has garnered 3 citations and is recognized as a benchmark for real-time vision and locomotion integration in competitive robotics. Beyond RoboCup, Sinen’s contributions to closed-loop control and sensor fusion have influenced research in autonomous navigation and human-robot interaction. His achievements underscore a commitment to pushing the boundaries of what humanoid robots can achieve in unstructured, time-critical environments.
Research Focus
Key Achievements
Top Papers
- 1