Development of Scaled-Down Self-Driving for Last Mile Delivery Based on Ros 2 Steering and Obstacle Recognition System

Sidharta, Vinlen Aston and Rusli, Leonard P. and Rusyadi, Rusman (2021) Development of Scaled-Down Self-Driving for Last Mile Delivery Based on Ros 2 Steering and Obstacle Recognition System. Bachelor thesis, Swiss German University.

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Abstract

Nowadays Autonomous Mobile Robot is getting much attention from all sort of view. One of the applied practices of AMR is delivery robot. With a delivery robot in this times, human can save both time and labor cost. The goal of the AMR robot is to have the robot go from point A to B; therefore, sensor will be needed to guide the AMR along the way. With the help of GPS, Lidar and Vision the robot can know its exact location and heading to the respective destination while avoiding obstacles along the way. In this thesis it will focus mainly on the Mechanical design and Computer vision.

Item Type: Thesis (Bachelor)
Uncontrolled Keywords: 4 Wheel Drive, Autonomous Mobile Robot, Obstacle Avoidance, ROS 2, Self Driving Car, Vision Recognition
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics
T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL152 Automobiles--Maintenance and repair > TL152.1 Automobile driving simulators
Divisions: Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User: Faisal Ifzaldi
Date Deposited: 24 Dec 2021 17:25
Last Modified: 24 Dec 2021 17:25
URI: http://repository.sgu.ac.id/id/eprint/2229

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