Project Description

This cutting-edge autonomous navigation system represents a significant advancement in robotics technology. Developed in collaboration with IIT Madras, the system integrates multiple sensor arrays, advanced AI algorithms, and real-time processing capabilities to enable safe and efficient navigation in complex industrial environments.

The prototype features:

• LIDAR-based environment mapping with 360° coverage
• Machine learning algorithms for dynamic obstacle detection and avoidance
• Real-time path optimization using A* and RRT algorithms
• Collision avoidance with predictive modeling
• Integration with existing industrial control systems and PLCs
• Modular design for easy customization and scaling across platforms

The system has been tested extensively in various industrial settings and has demonstrated superior performance in navigation accuracy, response time, and adaptability to changing environments. The patent-pending technology includes novel approaches to sensor fusion and decision-making algorithms that set new benchmarks in autonomous navigation.