🎩Perception and Sensor Fusion

Kinetik empowers robots with advanced perception capabilities through the integration of AI-driven sensor fusion algorithms. By combining data from various sensors (cameras, lidar, radar, IMU, etc.), robots can construct a comprehensive and accurate understanding of their environment.

• Sensor Data Processing: Raw sensor data is preprocessed to remove noise and enhance signal quality.

• Feature Extraction: Relevant features are extracted from sensor data, such as object detection, edge detection, and depth estimation.

• Data Fusion: Different sensor data streams are combined to create a unified and consistent representation of the environment.

• Object Tracking: Robots can track objects of interest over time, enabling tasks like object following and avoidance.

• Mapping and Localization: Simultaneous Localization and Mapping (SLAM) techniques allow robots to build and update maps of their surroundings while simultaneously determining their own location.