Autonomous Mobile Robot with Intelligent Navigation

Track

Robotics — reference RB-01

Project

Develop an autonomous mobile robot capable of intelligent indoor navigation.

Objectives

• Build a SLAM and localization stack that maps indoor spaces with LiDAR and cameras.
• Add obstacle avoidance and natural-language navigation goals, such as “go to meeting room B.”
• Validate the system in simulation, then deploy and benchmark it on a physical robot.

Candidate profile

Student in robotics, AI or software engineering, with solid Python or C++ skills and experience with ROS from coursework or projects.

Skills and tools

• Vision-language navigation
• Semantic segmentation
• Labeling rooms and objects on the map

The project is part of Astrolab’s PFE Book 2027. Projects have an estimated duration of up to six months, confirmed with the supervisor.