Browsing by Author "Belaidi, H. (supervisor)"

Now showing 1 - 6 of 6

Building a self driving car using Ros
(2019) Aougaci, Ali; Khachouche, Lokmane; Belaidi, H. (supervisor)
This project consists of designing and building an autonomous mobile vehicle platform able to drive itself without human intervention. The appropriate hardware equipments and sensors suitable for the desired tasks and for the vehicle navigation are selected. Moreover, the car architecture is designed. Then, the Robot Operating System (ROS) is used for the software implementation, for sensors and actuators interfaces and for the approach execution. The robot Platform is a microprocessor and microcontroller based system.
Building a self driving car using Ros
(2019) Aougaci, Ali; Khachouche, Lokmane; Belaidi, H. (supervisor)
This project consists of designing and building an autonomous mobile vehicle platform able to drive itself without human intervention. The appropriate hardware equipments and sensors suitable for the desired tasks and for the vehicle navigation are selected. Moreover, the car architecture is designed. Then, the Robot Operating System (ROS) is used for the software implementation, for sensors and actuators interfaces and for the approach execution. The robot Platform is a microprocessor and microcontroller based system.
Propeller LED display using Arduino
(2019) Saadi, Adem; Chaouch, Youcef; Belaidi, H. (supervisor)
As a part of an Electrical Engineering program, it is important to understand the practical application of all those things and concepts that have been taught theoretically, this project report is a summary of practical things learnt by us during the period of our project execution. This report documents the design, implementation and testing process for a “propeller LED display”: a system in which LEDs move rapidly to create the illusion of a much higher resolution display. A propeller LED display has many advantages over a traditional CRT, LCD or LED display, like power savings, less complexity, easy configuration, attractiveness etc. The report details the design and building process for the hardware and software of the system, and the integration of these subsystems into a finished product. The hardware incorporates a Propeller part and high-speed brushless motor; the electronics aspect involves designing and manufacturing a printed circuit board consisting of 17 LEDs (11 red, 5 green, 1 blue); software was then written to address and control these LEDs from an Arduino microcontroller. Several programs were written for computing/displaying different images on the LED display. Overall, the project was a success. Minor issues were identified in testing and subsequently fixed: these are discussed within the report. Potential improvements to the system (namely wireless connectivity and a more balanced, stable structure) are also discussed.
Propeller LED display using Arduino
(2019) Saadi, Adem; Chaouch, Youcef; Belaidi, H. (supervisor)
As a part of an Electrical Engineering program, it is important to understand the practical application of all those things and concepts that have been taught theoretically, this project report is a summary of practical things learnt by us during the period of our project execution. This report documents the design, implementation and testing process for a “propeller LED display”: a system in which LEDs move rapidly to create the illusion of a much higher resolution display. A propeller LED display has many advantages over a traditional CRT, LCD or LED display, like power savings, less complexity, easy configuration, attractiveness etc. The report details the design and building process for the hardware and software of the system, and the integration of these subsystems into a finished product. The hardware incorporates a Propeller part and high-speed brushless motor; the electronics aspect involves designing and manufacturing a printed circuit board consisting of 17 LEDs (11 red, 5 green, 1 blue); software was then written to address and control these LEDs from an Arduino microcontroller. Several programs were written for computing/displaying different images on the LED display. Overall, the project was a success. Minor issues were identified in testing and subsequently fixed: these are discussed within the report. Potential improvements to the system (namely wireless connectivity and a more balanced, stable structure) are also discussed.
Static and dynamic collision avoidance for multi-robots in crowded environment
(2019) Abad, Malik; Bouhamidi, Ahmed Essadik; Belaidi, H. (supervisor)
A team of multiple mobile robots that work in parallel offers a number of advantages over single robot systems. Multiple robots have the potential to finish a given task faster than a single robot and they are able to perform some tasks that are outside the scope of a single-robot system. As a primary problem, motion-level conflict resolution requires that the robots avoid collisions not only with static obstacles but also with other robots. If a robot regards its neighboring robots as static obstacles, the conflict among the robots is inevitable in some cases. It becomes worse in crowded multi-robot environments. Therefore, the use of multiple robots in the same workspace requires the necessity to coordinate between them. Coordination among the robots may be of two types, centralized and decentralized. In the centralized approach, a single robot acts as the coordinator which monitors the movement of robots and hence the goal accomplishment is centered round the coordinator. In the decentralized strategy, there is no single coordinator in the environment. Each robot coordinates its own movement and ensures that it does not collide with any other robot while goal accomplishment. In this project, a new hybrid multi-robots navigation strategy in crowded environment (while avoiding static and dynamic obstacles) will be proposed. Thus, the possibility of collision between the pre-planned trajectories will be calculated by a centralized coordinator. Hence, the time to reach the possible collision points by each robot is calculated according to their speed. Consequently, the robots concerned by the collision have to take decision to avoid the collision by applying the technique of priority between robots.
Static and dynamic collision avoidance for multi-robots in crowded environment
(2019) Abad, Malik; Bouhamidi, Ahmed Essadik; Belaidi, H. (supervisor)
A team of multiple mobile robots that work in parallel offers a number of advantages over single robot systems. Multiple robots have the potential to finish a given task faster than a single robot and they are able to perform some tasks that are outside the scope of a single-robot system. As a primary problem, motion-level conflict resolution requires that the robots avoid collisions not only with static obstacles but also with other robots. If a robot regards its neighboring robots as static obstacles, the conflict among the robots is inevitable in some cases. It becomes worse in crowded multi-robot environments. Therefore, the use of multiple robots in the same workspace requires the necessity to coordinate between them. Coordination among the robots may be of two types, centralized and decentralized. In the centralized approach, a single robot acts as the coordinator which monitors the movement of robots and hence the goal accomplishment is centered round the coordinator. In the decentralized strategy, there is no single coordinator in the environment. Each robot coordinates its own movement and ensures that it does not collide with any other robot while goal accomplishment. In this project, a new hybrid multi-robots navigation strategy in crowded environment (while avoiding static and dynamic obstacles) will be proposed. Thus, the possibility of collision between the pre-planned trajectories will be calculated by a centralized coordinator. Hence, the time to reach the possible collision points by each robot is calculated according to their speed. Consequently, the robots concerned by the collision have to take decision to avoid the collision by applying the technique of priority between robots.