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Road Detection Using Data From Mobile Robot
Camera
Peška, Jaroslav
The paper is focused on developing a road detection algorithm that uses only data from a mobile robot’s camera. Key requirements are low latency and relatively low power requirements. Presented algorithm makes use of machine learning, where the neural network is fed not only image data, but also select additional inputs.
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Controlling of Vehicles Formation
Revický, Peter ; Kapinus, Michal (referee) ; Rozman, Jaroslav (advisor)
The goal of this thesis is to create system for formation management of wheeled vehicles with kinematic constraints. The work presents the way to control vehicle and how to manage formation in presence of obstacles. Algorithms used for vehicle control are based on potential fields. Whole system is implemented in Unity game engine in 2D enviroment. The system is then tested on various scenarios such as passing through narrow passage, obstacle partially blocking formation, dynamic obstacle avoidance etc.
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BOIDS Method for Swarm Simulation
Burda, Radek ; Král, Jiří (referee) ; Zbořil, František (advisor)
This work primarily deals with C.Reynolds's model of flocking -BOIDS - and uses the model as a basis for creating a swarm simulation. It discusses methods for obstacle avoidance and principle of forces arbitration (flocking rules, obstacle avoidance and goal satisfying) to properly avoid conflicting of behaviours. Furhermore some of other approaches to flocking simulation are mentioned while their pros and cons are taken up. Last but not least proceeding of creating a graphic environment in Blender for demonstrating boids behavior in the final 3D application is described.
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Indoor Robot - Local Navigation
Matějka, Lukáš ; Šolc, František (referee) ; Žalud, Luděk (advisor)
This thesis deals with the problematic of design and realization of autonomous mobile robot, specifically with the subsystem for local navigation for a robot controlled by global navigation based on self-organizing neuron map, possible chassis design and control of these designs. Obstacle detection system is designed as well as optimum direction finding algorithm. Final section of this thesis concerns the possibilities of future improvements and development.
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