Engineering rugged autonomous mobile platforms, continuous multi-modal sensor fusion, visual-inertial odometry, and deterministic real-time controllers capable of operating in unstructured, GNSS-denied extreme terrains.
Continuously digitizes unstructured basalt terrain, sand drifts, and steep slopes into calibrated 3D geometric point clouds with semantic material tagging.
Engineered for zero communication delay vulnerability and physical stability.
Synchronizing 3D solid-state LiDAR, dual global-shutter stereo cameras, and tactical-grade IMUs via Extended Kalman Filters for robust pose estimation.
Simultaneous Localization and Mapping (SLAM) relying solely on visual features and wheel odometry in caves, canyons, and extraterrestrial surfaces.
Real-time classification of terrain soil compactness, boulder geometry, and slope friction to calculate safe speed and slip margins.
Custom articulated suspension geometries capable of climbing obstacles up to 2x wheel diameter without chassis tipping.
Micro-ROS integrated with RTOS motor nodes over 5 Mbps CAN-FD channels, providing strict determinism under 2 ms motor cycle deadlines.
High-latency supervisory telemetry interfaces allowing human ground teams to issue strategic waypoint goals while local AI executes immediate avoidance.
Physical testbeds, rover chassis platforms, and perception nodes.
Full-stack perception, hazard mapping, and path planning for autonomous planetary rovers.