Funding
Funding not disclosed
Founders
Product
Problem
Retailers and logistics providers often face high labor costs and slow delivery times for last‑mile shipments, especially in dense urban or campus environments where manual delivery is inefficient.
Solution
The Autonomous Delivery Vehicle Team develops fully autonomous delivery vehicles that operate on real-world routes. Their platform combines sensor fusion, advanced navigation algorithms, and precise vehicle control to navigate complex environments without human intervention. Extensive field testing on the Virginia Tech campus validates performance under varied lighting, weather, and obstacle conditions. By automating the final leg of delivery, the system aims to lower operational expenses and increase delivery speed for commercial partners.
Target Audience
Primary customers are retailers, e‑commerce platforms, and logistics companies seeking autonomous solutions for last‑mile delivery in campus, urban, or campus‑like settings.
Features
- Integrated sensor suite (LiDAR, cameras, IMU) for robust perception and obstacle avoidance
- Real-time sensor fusion pipeline that creates a high‑definition map of the surrounding environment
- Adaptive navigation algorithms that handle dynamic path planning and traffic interactions
- Vehicle control stack capable of precise motion execution and safe stopping in tight spaces
- Modular hardware design allowing customization for different payload sizes and form factors
- Continuous data collection and learning loop to improve performance from field deployments