Robotics

While table tennis players primarily rely on visual cues, sound provides valuable information. The sound generated when the ball …

Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks …

Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball’s trajectory …

In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an …

Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a …

The goal of this thesis is to apply these Graph-based networks for ball detection with event cameras.

The goal of this thesis is to develop a real-time capable (multi) object tracking pipeline by applying multi object segmentation.

Spin plays a considerable role in table tennis, making a shot’s trajectory harder to read and predict. However, the spin is challenging …

The goal of this project was to develop an event simulator which can run in real-time given a video stream from a frame-based camera.

Event cameras are becoming increasingly popular in robotics and computer vision due to their beneficial properties, e.g., high temporal …