Ultrasonic Navigation and Obstacle Avoidance

Navigation and Obstacle Avoidance in Troublesome Scenarios Using Ultrasonic Sensors

Project type: PhD project

Period: -0001 - -0001

Focus Area: Development of navigation strategies allowing a robot to navigate safely avoiding obstacles in unstructured and dynamic environments. Consequently, a special emphasis is put on architecture reactivity, and, thus, on control architectures requiring minimum amounts of computation and memory storage. Main results of this research are the T 2 navigation strategies and the NemoCAT simulator.

By means of the application of the Traversability and Tenacity principles, T2 strategies solve the well-known local minima problem of potential-field-based control methods. On the basis of these two principles, a new family of geometric algorithms for sensor- based motion planning has been proposed: random-T2 , bug-T2 , and connectivity-T2.

NEMOCAT (Navigational Environment MOdeller, Control and Architecture Tester) is a 3D object-oriented simulator developed to validate and tune reactive and hybrid AUVs control architectures based on schema theory and potential fields.

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