Autonomous Docking System for an Outdoor Mobile Robot

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Project description

Autonomous mobile robots operating in outdoor environments require reliable and precise docking capabilities to perform tasks such as battery charging, parking and automated mission completion.

Unlike indoor environments, outdoor conditions introduce additional challenges, including variable lighting, uneven terrain, obstacles and environmental disturbances that can affect perception and positioning accuracy.

This project aims to develop an autonomous docking solution using a depth camera, enabling an outdoor mobile robot to detect, localize, approach and accurately align itself with a docking station without human intervention.

Required skills

• Proficiency in C++ and/or Python
• Good knowledge of ROS 2 and autonomous mobile robotics
• Solid understanding of computer vision and image processing
• Knowledge of robot navigation, localization and control
• Familiarity with depth cameras and 3D perception
• Strong analytical and problem-solving skills