Swarm-Based Logistics & Pizza Delivery Optimization
With only a simple PIC microcontroller, our autonomous delivery robot solved the Traveling Salesman Problem in real time—using minimal computational power. This project demonstrated how ultra-low-power AI can efficiently manage complex logistics and autonomous fleet operations.
Ultra-Efficient Autonomy at Minimal Computational Cost
High-performance logistics often rely on intensive computational models, making real-time optimization challenging in low-power systems. Our research explored how simple, swarm-based algorithms—inspired by natural collective behavior—can efficiently solve complex problems like the Traveling Salesman Problem. This work demonstrates how ultra-low-power AI can manage large-scale autonomous navigation, offering solutions for delivery networks, drone fleets, and decentralized logistics with minimal energy consumption.