Internship (or Master Thesis Project): Computer Vision & Multi-Person Tracking for Social Robotics

This internship is embedded within an active PhD research project aimed at benchmarking State-of-the-Art (SOTA) Multi-Object Tracking (MOT) solutions specifically for Human-Robot Interaction (HRI). In HRI, maintaining a consistent identity for users is critical. Unlike autonomous driving or surveillance, Furhat observe the world from a stationary, eye-level perspective, which presents unique challenges. The core research investigates how different inputs (e.g., Face vs. Full-Body bounding boxes) and detection qualities impact the robot's ability to maintain a social interaction.