The CAPRA is an agile mobile robot platform created to provide cutting-edge dependable mobility for multiple applications. The state-of-the-art agile mobile robot answers the issues that have troubled the mobile robot industry for years, namely a lack of versatility, poor driving capabilities, short ranges, low operating time, and high pricing.
Versatile mobile Robot Platform
We provide one robot for multiple applications. Our Mobile Robot Platform works as a versatile and robust foundation for a wide range of applications, including perimeter control, production logistics and urban maintenance. Designed for adaptability, it integrates advanced sensors, AI-driven navigation, and rugged construction to operate effectively in diverse and challenging environments. This unique platform offers a reliable base which can be modified to meet specific automation needs across domains.
Patented Agility
Our robots are based on a unique, self-developed, and patented wheel frame. The wheel frame differs from previous wheel frames, as it uses the most prominent features of Ackermann and Differential steering in one, utilizing their respective benefits and omitting their flaws. This resulted in a novel wheel frame with both precise and agile steering.
This gives us a highly agile Mobile Robot Platform with a small turn radius, enabling it to navigate tight spaces. The wheel frame also features a novel suspension system that allows it to effortlessly climb curbs and challenging environments. It can drive in all terrains and on any surface, including uneven ground and even sand, making it perfect for outdoor use.
Autonomous Navigation
Our mobile robots feature two navigation systems, one for indoor and one for outdoor.
The indoor navigation system is comprised of a state-of-the-art VSLAM system, CAPRA VISION, coupled with SIL2-certified industrial radars for object detection. The AI-powered camera system offers easy mapping of logistics areas and automated updating at double the rate of LiDAR mapping which increases the navigational reliability in highly constrained and dynamic environments.
The outdoor navigation system rests on a proprietary Kalman Filter comprised of sensory input from GNSS signals with RTK, Odometry, and IMUs within the robot. The Kalman Filter dynamically weighs the input from the various data sources and applies them in a probability calculation for which data inputs to trust. This means that the robot automatically switches navigation systems when the environment changes.