EDUBOT VERSION 3
1 ROS2 Application for Indoor Navigation
Simultaneous Localization and Mapping (SLAM):Mapping:
Build and update maps in real-time using SLAM techniques.Localization:
Accurately determine the robot’s position within indoor environments.Path Planning:
Develop optimal path planning algorithms to efficiently navigate complex environments.Autonomous Navigation:
Enable fully autonomous movement, allowing the robot to travel from one point to another without manual intervention.Obstacle Detection and Avoidance:
Implement robust methods to detect obstacles and dynamically adjust routes to prevent collisions.1 Artificial Intelligence (AI) Applications
Computer Vision:
Leverage vision-based systems for environment perception and object recognition. Machine Learning: Integrate machine learning models for advanced navigation, decision-making, and environment adaptation. Detection and Tracking: Implement detection and tracking algorithms to monitor and follow objects of interest in real time.1 Camera and robotics arm 2 in 1
- AI Vision Interactive Function
- AI Vision Human Feature Interaction
Gesture grabbing
Face recognition and tracking
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