Develop a warehouse automation system where multiple robots process navigation and obstacle data locally using edge computing. The system will coordinate robot movements, prevent collisions, and optimize item picking efficiency without relying heavily on centralized cloud control.
Study warehouse automation and multi-robot coordination concepts.
Research LiDAR, ultrasonic sensors, and indoor positioning systems.
Design decentralized edge architecture for warehouse zones.
Implement real-time path planning and collision avoidance algorithms.
Develop robot-to-robot communication protocols at the edge.
Configure task allocation logic for item picking optimization.
Optimize processing for low-latency navigation decisions.
Conduct simulated warehouse movement scenarios.
Compare system performance with centralized fleet control.
Evaluate improvements in operational efficiency and safety.
Document scalability for large warehouse environments.
