Inertia led the clean-sheet design of a production-intent autonomous vehicle platform built around the operational realities of industrial agriculture.
The team architected and integrated a hybrid-electric mobile system unifying propulsion, embedded computing, power electronics, robotic manipulation, and multi-sensor vision within a cohesive control framework.
Rather than adapting experimental hardware, Inertia established a system-level architecture that aligned endurance, thermal management, environmental protection, and edge computing performance with real-world duty cycles. Mechanical, electrical, and software subsystems were engineered to function as a single, reliable machine capable of sustained autonomous operation.
This architecture-first approach ensured the AI engine was supported by infrastructure designed for durability, maintainability, and future fleet deployment.