Technology connecting perception, mobility and control

Object recognition and behavior analysis support situational awareness. Development follows data collection, preprocessing, model training, evaluation and Edge AI deployment for each environment.

Development starts by defining the objects and behaviors that matter and obtaining data representative of the camera conditions. Results can feed alerts and event records so operators can review situations and decide on a response.

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Flight control, mission equipment, communications and ground control are integrated alongside manufacturing, performance testing and operator training.

The scope includes the operator’s workflow for preparing a mission and checking status, alongside aircraft performance. Communications, location and payload conditions inform the configuration and test items needed for field use.

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Mobile robot technology connects environmental perception, localization, path planning and obstacle avoidance, with operational validation for each task and environment.

Sensor observations inform routes and responses to obstacles encountered during movement. Indoor and outdoor spaces differ in structure and perception conditions, so configuration and validation must reflect the intended setting.

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Position, video and sensor information connect the physical site to digital models and control views, supporting operator decisions across multiple devices and events.

The direction is to show equipment positions and conditions on a map or spatial model and link events to supporting data. Connecting collection and visualization makes information from separately managed devices useful to a shared operation.

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