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Mecanum wheel mobile platform - detection of obstacles
Pollach, Ondřej ; Lang, Stanislav (referee) ; Parák, Roman (advisor)
Bachelor thesis is focused on detection of obstacles on omnidirectional mobile robot. Infrared sensors are being used to solve this problem. Signals from sensors are processed in microcontroller Arduino Mega 2560, where main computation and aproximation is included. Aproximated data are sent via USB to microcomputer Raspberry Pi 3 model B. Raspberry shares this data with PLC from B&R Automation company using Ethernet network. Final part of the project is visualisation, which is developed in B&R Automation studio.
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Uncommon platforms in mobile robotics
Miškolci, Michal ; Cihlář, Miloš (referee) ; Kopečný, Lukáš (advisor)
This thesis deals with the design of a four-wheeled omnidirectional robot chassis capable of trajectory tracking. For this purpose, a kinematic model is built in the thesis, then applied and compared with a real robot. This model implementing linear trajectory tracking is complemented by the computation of circular trajectory, and both types of motion are applied to the robot and evaluated. For large deviations from the desired circular trajectory, the last part of the paper is devoted to improve the tracking by linearizing the motor and using an angular velocity sensor to compensate for the rotational deviation.
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Uncommon platforms in mobile robotics
Miškolci, Michal ; Burian, František (referee) ; Kopečný, Lukáš (advisor)
This thesis deals with the design of a four-wheeled omnidirectional robot chassis capable of trajectory tracking. For this purpose, a kinematic model is built in the thesis, then applied and compared with a real robot. This model implementing linear trajectory tracking is complemented by the computation of circular trajectory, and both types of motion are applied to the robot and evaluated. For large deviations from the desired circular trajectory, the last part of the paper is devoted to improve the tracking by linearizing the motor and using an angular velocity sensor to compensate for the rotational deviation.
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Mecanum wheel mobile platform - detection of obstacles
Pollach, Ondřej ; Lang, Stanislav (referee) ; Parák, Roman (advisor)
Bachelor thesis is focused on detection of obstacles on omnidirectional mobile robot. Infrared sensors are being used to solve this problem. Signals from sensors are processed in microcontroller Arduino Mega 2560, where main computation and aproximation is included. Aproximated data are sent via USB to microcomputer Raspberry Pi 3 model B. Raspberry shares this data with PLC from B&R Automation company using Ethernet network. Final part of the project is visualisation, which is developed in B&R Automation studio.
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