Engineering What Comes Next.
Exploring robotics, aerospace, artificial intelligence, and embedded systems through rigorous, hands-on physical prototyping.
North Star applies an empirical, bench-tested approach to complex engineering challenges across multiple advanced disciplines.
Prototyping differential-drive platforms, closed-loop velocity controllers, and rugged mechanical chassis for unstructured terrain.
UAV testbeds, high-rate flight telemetry logging, aerodynamic balance, and electronic speed controller (ESC) tuning.
Edge neural network acceleration, localized optical flow estimation, and computer vision deployed without persistent cloud connectivity.
Low-level register programming, DMA circular buffers, FreeRTOS task scheduling, and microsecond sensor bus synchronization.
Multi-sensor Extended Kalman Filtering (EKF), localized obstacle mapping, and deterministic path planning in GPS-denied environments.
Empirical laboratory validation: stress-testing power rails, analyzing signal noise over oscilloscopes, and eliminating single points of failure.
Active research prototypes and engineering testbeds currently deployed on our laboratory benches.
Our forward-looking path from foundational learning to advanced real-world implementations.
Initial learning, establishing core electrical engineering principles, and assembling small-scale sensor bench prototypes.
Moving from basic concepts to increasingly complex robotic and embedded systems, including the Varsha multi-sensor node.
Combining isolated subsystems—edge AI, sensors, control loops, and mechanical chassis—into unified deterministic platforms.
Transitioning prototypes out of the lab to evaluate performance, vibration resistance, and telemetry range under realistic outdoor conditions.
Scaling up to develop larger, more capable technology platforms solving complex real-world challenges.