Advanced GUI-Based Four-Wheel Independent Steering Control Research Robocar

Uzam Haider; Shahid Rasheed; Ali Nawaz; Sadaqat Ali; Ammar Naeem; Abdul Aziz Memon; Bilal Ahmed Arain

Authors

Uzam Haider Graduate of Sukkur IBA University, Dept. of Electrical Engineering, Sindh, Pakistan. https://orcid.org/0000-0002-4121-0309
Shahid Rasheed BE Electrical Engineering, Sukkur IBA University, Sindh, Pakistan https://orcid.org/0009-0004-5084-3919
Ali Nawaz Graduate of Sukkur IBA University, Dept. of Electrical Engineering, Sindh, Pakistan. https://orcid.org/0009-0001-5220-4385
Sadaqat Ali BE Electrical Engineering, Sukkur IBA University, Sindh, Pakistan https://orcid.org/0009-0005-8746-803X
Ammar Naeem Student of Sukkur IBA University, Dept. of Computer Science, Sindh, Pakistan. https://orcid.org/0009-0003-4885-8903
Abdul Aziz Memon
Bilal Ahmed Arain Robotics Engineer at CRAIB Lab, Sukkur IBA University, Sindh, Pakistan.

Keywords:

4WIS, Autonomous Vehicle Control, Intelligent Steering Systems, GUI-Based Control, Educational Robotics

Abstract

The automotive industry is transforming rapidly due to technological advancements in propulsion systems, connectivity, and steering control mechanisms. Steering systems are vital for vehicle manoeuvrability, safety, and performance, making them a major focus. Traditionally, vehicles used two-wheel steering, where front wheels control direction and rear wheels follow. While effective in standard driving, these systems struggle with complex manoeuvres, lacking agility, and precision, thus compromising safety and performance. This project developed a prototype GUI-based development kit that allows researchers to intuitively control and monitor the four-wheel independent steering system, providing real-time feedback and seamless transitions between modes. The vehicle can switch from straight-line to independent steering in under a second, demonstrating rapid response capabilities. Wireless control over long distances increases its versatility in research and development scenarios. Innovative features like parallel parking and diagonal mode enhance manoeuvrability, allowing the vehicle to move sideways or diagonally in tight spaces. This kit significantly impacts vehicle control technology, offering a flexible platform for researchers to develop and test steering algorithms, accelerating innovation, and advancing autonomous vehicle systems.

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