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Autonomous Vision-Language Navigation Rover
Overview
Developed a simulated autonomous rover combining robotics, computer vision, and sensor-fusion concepts to explore navigation in a simulated environment.
Project focus
ROS 2 and Gazebo simulation.
Camera-based object perception using an ONNX model.
Integration of robotics sensors and localization concepts.
Exploration of vision-language navigation workflows.
Technologies: ROS 2 Humble, Gazebo, Python, ONNX Runtime, computer vision, sensor fusion.
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