EDUBOT version 2.0
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.2 Autopilot System for Outdoor Autonomous Navigation
Modeling, Identification, and Simulation:
Model and simulate the vehicle’s behavior under different scenarios to ensure robust performance in varied conditions.Heading Control:
Design heading control algorithms for precise direction control in outdoor environments.Speed Control:
Implement speed control mechanisms to adapt vehicle speed according to terrain and navigation requirements.Line-of-Sight Navigation:
Develop line-of-sight (LOS) strategies to guide the vehicle accurately along a predefined path.Cross-Track Error Management:
Implement control strategies to minimize cross-track error, ensuring the vehicle remains on its designated path.Obstacle Avoidance:
Integrate real-time obstacle avoidance, ensuring safe autonomous navigation in outdoor terrains.3 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.4 Graphical User Interface (GUI) Design
Develop an intuitive, user-friendly GUI for real-time monitoring and control of autonomous systems, providing visual feedback on navigation, path planning, and system status.5 Bidirectional Communication
Establish robust bidirectional communication protocols to enable real-time data exchange and control between the autonomous vehicle and remote operators or central systems.EDUBOT Edition
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