Fields of competence
ROBOTNOR represents a unique synergy of academic and industrial expertise which allows us to counsel and comprehend a wide variety of tasks and projects. Our fields of competence are numerous and diverse.
Often one sensor or one measurement principle can not capture all the information needed to make a desired conclusion. The idea with sensor and data fusion is to use inputs from complementary information sources that when combined, can be used to draw conclusions that can not be obtained from any of the sources alone.
In robotics this is particularly important allowing the robot to explore a range of sensory input when perceiving and interacting with the world. For instance when grasping objects, tactile and vision combined is important to ensure proper grip and reliable manipulation.
ROBOTNOR researchers have over the last decades built up an extensive experience with a wide variety imaging sensor technologies as well as force, torque and tactile sensing solutions. Employing our physical understanding and models of the observed system and the measuring systems, we can utilize the strengths and weaknesses of different sensing technologies within an application domain, increasing the robustness and accuracy of our solutions.
In order for robots to navigate and interact more like humans in complex environments, manipulating […]
Collision detection and avoidance are crucial components in any moving system that needs to interact […]
Bestowing our machines with intelligence has been an ambitious goal for scientists since the birth […]
Vision sensors are necessary for the robots to understand and interact with their surroundings. Depending […]