The RoboTech Vision company is engaged in the development of localization and navigation algorithms, which are mainly used in the field of mobile robotics. The robot is then able to get to the destination, either autonomously or with partial human intervention. The robot is also able to move on pre-planned routes, or use reactive navigation methods to create maps for future route planning.
Individual algorithms also ensure collisionless behavior of the robot in the environment in which it moves. In algorithms, we also try to refine the position of the robot, using, for example, the characteristics of the environment in which the robot moves. Navigation algorithms use sensor data such as GPS, accelerometer, gyroscope, magnetometer, LiDar and visual system.
RoboTech Vision focuses on different types of algorithms that operate on a different principle. Here are some examples.
Navigation using visual system
The Androver II robot, completely developed by RoboTech Vision, is able to move autonomously in an unfamiliar environment thanks to our algorithm. Unlike the Husky A200 robot, environment does not need to be pre-mapped. Thanks to robot´s visual system, Androver II recognizes the road, crossroads, obstacles and moves along the route entered by waypoints without collisions. The robot chooses a direction on crossroads on its own to follow waypoint and get to the destination. This type of navigation is called reactive navigation because the robot responds to environmental conditions.
Navigation using a map
Husky A200 robot from Clearpath robotics company can go autonomously thanks to our algorithm through the selected route and avoid dynamic obstacles. The route needs to be crossed in a teleoperator mode, where the robot uses the sensory system to map the environment. Then the robot can go through road autonomously without collision. This is a navigation using a local environment map, which can also be applied on another type of robot.
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