Coarse Collaborative Simultaneous Localization and Mapping

This project in collaboration with Oxford University focuses on improving how robots work together through coarse Collaborative Simultaneous Localization and Mapping (SLAM). SLAM technology is crucial for autonomous navigation, allowing robots to map and understand their surroundings while providing real-time localization estimates. The coarse approach we aim to develop would simplify how robots map their environment and obtain shared localization, enabling them to collaborate more efficiently in large groups using less computational and communication resources. By developing a broader, more generalizable method of localization, our goal is to enhance the use of robotic teams in diverse applications, such as search and rescue, space exploration, and urban development. This research promises to make advanced robot localization more practical and accessible in multi-robot systems.

Faculty Supervisor:

Giovanni Beltrame

Student:

Partner:

University of Oxford

Discipline:

Engineering

Sector:

Artificial Intelligence; Information and Communications Technology

University:

Polytechnique Montréal

Program: