Guide Robotics develops and provides navigation solutions in non-GPS industrial environments using proprietary computer vision and AI algorithms, with applications in warehouse logistics optimization and autonomous robotics.
Guide Robotics' mission is to develop tools for optimizing industrial operations in logistics, construction and security, using cutting-edge computer vision technology and autonomous robotics algorithms.
Example Use Case: Optimizing forklift operations in warehouse logistics, leading to significant improvements in overall warehouse efficiency and reduced costs.
We have developed the Guide Navigation System or GuideNS™ - a Visual-Inertial SLAM (Simultaneous Localization and Mapping) based navigation system for forklifts and autonomous robots operating in indoor warehouses and other GPS-denied environments. Depending on the use case (manually driven vs on-robot) we use on-device and cloud APIs to deliver indoor positioning and other navigation functionality as a service.
Our Visual-Inertial SLAM algorithm is optimized for real-time performance and low-cost hardware. The localization is highly accurate, as it creates and pre-loads visual landmark maps on the fly for centimeter level accuracy, even in the face of challenging visual environments.