WALL-E Savior Robot
| dc.contributor.author | Marah Akef Hanini | |
| dc.contributor.author | Ahmad Mohammed Hussein | |
| dc.date.accessioned | 2026-05-19T09:00:51Z | |
| dc.date.issued | 2025-03-10 | |
| dc.description | -- | |
| dc.description.abstract | Our project is about developing a robot that is to be used in hazardous environments where it is dangerous for humans to approach. The robot’s main objective is to help in performing crucial tasks, as extinguishing fires or detecting dangerous objects, especially when it comes to Effec- tively neutralize dangerous objects. Using digital image processing the robot is able to identify wire colors in order to help the human expert identify which wire to cut. The robot features with a sturdy and rust-resistant body made of galvanized steel, enabling it to operate effectively under harsh conditions. Its design is inspired by the character Wall-E, adapted to meet the requirements of its specialized tasks. With dimensions that exceeding one meter in height , the robot is equipped with high-capacity motors that are capable of handling significant weights. rechargeable lithium battery powers the robot, which is custom designed to provide the ideal voltage and current capacity for continuous use. The precision movements of the robotic arms are made by stepper motors and data exchange and control are through a combination of Rasp- berry Pi, Arduino Mega . The video feed from the onboard camera is used for both digital image processing and for human controlled operations as visual input. This robot is an innovative new prototype to improve safety and efficiency in hazardous environments. | |
| dc.description.sponsorship | -- | |
| dc.description.statementofresponsibility | In various high-risk environments, such as high-pressure areas and hazardous zones, performing tasks like cutting or connecting wires presents significant challenges and risks to human safety. Traditional approaches often require manual intervention, which can be dangerous and ineffi- cient. Technological advancements in robotics and digital image processing provide innovative solutions to mitigate these risks and enhance operational efficiency. | |
| dc.description.tableofcontents | develop an advanced robot capable of safely and effectively operating in hazardous environ- ments, focusing on the requirements of safety, precision and efficiency in high risk conditions. This robot is specifically designed to reduce the risks that human experts have to face and in doing so to protect them from danger by performing tasks in areas that are too dangerous for people to enter directly. It will be developed with fire detection and suppression system which uses fire sensor and extinguisher to detect and put out fire quickly to minimize damage and prevent expansion of a hazardous situation. In addition, the robot will have a wireless remote control system which allows human experts to control the robot from a safe position. This functionality is not only safe but also gives the operators high level of control over the robot’s movement and actions which is very important for the successful completion of critical tasks. In order to support extended and demanding op- eration, the robot will be designed to run on high capacity rechargeable batteries. This ensures that the robot can function properly and without interruption, and it is able to last for long pe- riods of time, even in the most difficult conditions. In the process, our project seeks to develop a smart and multipurpose robotic system that can help solve a variety of problems in hazardous environments in order to enhance safety and performance | |
| dc.format.medium | Hardware | |
| dc.identifier.citation | -- | |
| dc.identifier.other | 0592639931 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/21031 | |
| dc.language.iso | en | |
| dc.publisher | Dr. Muhannad al-jabi | |
| dc.relation.ispartofseries | 11941225; -- | |
| dc.subject.classification | Industry | |
| dc.supervisor | Dr. Muhannad al-jabi | |
| dc.title | WALL-E Savior Robot | |
| dc.title.alternative | -- | |
| dc.type | Graduation Project | |
| person.telephone | 0592639931 |
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