Active Semantic Navigation using Quadruped Robot

Thesis

Thesis Degree:

Master

Thesis Advisors:

Sicong Pan
Xuying Huang
Shahram Khorshidi

Thesis Description:

We want to reimplement the system VLFM in [1] on our quadruped robot GO1 and later on improve the system allowing search for two same objects.

The screenshot image of their video showcases an example of [1] for searching the microwave.

Thesis Requirements:

Enrolled in computer science or similar MSc program in and around Bonn/Cologne

Familiarity with mobile navigation and 3D perception

Experience with vision-language model and large language models

Programming experience with C++, Python, and ROS (Robot Operating System)

Enthusiasm for real-world robot deployment and scientific publishing of results

Thesis Related Work:

1. N. Yokoyama et al. "VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation", ICRA, 2024 (Best Paper in Cognitive Robotics)