Team Leader - Industrial AGV System Project
Khaled led a 4-person university team (including an MSc mentor) to design a complete Automated Guided Vehicle (AGV) system for Procter & Gamble Egypt's warehouse operations. The project addressed inefficient manual pallet transport across 8 production lines and 3 storing lines. Khaled was responsible for mechanical design, control systems, and team coordination. The team designed an autonomous system featuring WiFi RSSI indoor localization, Hadlock/Soukup path planning algorithms, and swarm coordination capabilities. The proposal was accepted and funded by P&G, though it was never implemented due to the client losing interest after initial approval.
Why I Joined
University capstone project opportunity to solve real industrial problems for a major multinational
- •Led a team of 4 (3 students plus MSc mentor) through the complete industrial automation design process
- •Designed mechanical systems including differential drive chassis, elevating conveyor payload, and motor specifications
- •Developed control system architecture using WiFi RSSI triangulation for indoor localization with 4-beacon setup
- •Implemented Hadlock/Soukup path planning algorithm with 50cm grid resolution for warehouse navigation
- •Created 3D CAD models in SolidWorks for multiple solution scenarios with detailed specifications
- •Authored 18-page technical proposal with flow charts, cost estimation, and demonstration video
- •Presented proposal to P&G stakeholders, successfully securing funding approval
- ✓Led team to win funding approval from major multinational while still a university student
- ✓Designed complete AGV system including mechanical, electrical, and software components with detailed specifications
- ✓Developed WiFi RSSI indoor localization system using 4-beacon triangulation for warehouse positioning
- ✓Implemented Hadlock/Soukup path planning with 50cm grid resolution enabling autonomous navigation
- ✓Delivered 18-page technical proposal with cost estimation of $19K-$20K per unit that convinced P&G stakeholders
Technology Stack
Situation
Procter & Gamble Egypt's warehouse had 8 production lines and 3 storing lines requiring constant manual pallet transport. This inefficiency created a real business problem that could be solved with automation. As a university student, Khaled had the opportunity to lead a team addressing this challenge for his capstone project.
Task
Design a complete Automated Guided Vehicle system that could autonomously transport pallets throughout the warehouse, minimizing human interface in the storage system.
Action
Khaled led a team of 4, taking responsibility for mechanical design and control systems. He designed the robot's mechanical systems including differential drive chassis and elevating conveyor. He developed the localization system using WiFi RSSI triangulation with 4 beacons. He implemented Hadlock/Soukup path planning for autonomous navigation. The team created detailed 3D CAD models in SolidWorks, sensor specifications (ultrasonic, laser, barcode readers, encoders), and a comprehensive 18-page proposal with demo video.
Result
The proposal was accepted and P&G approved funding at $19K-$20K per unit. While the system was never implemented due to the client losing interest, this success validated Khaled's ability to design production-grade industrial systems and lead teams to win corporate approval while still a university student.
Size: 4 people
Structure: University project team with industry mentor
Reported to: MSc Mentor (Abdelrahman Saleh)
Direct reports: 2
Skills Gained
Skills Deepened
- 💡How to translate academic robotics knowledge into production-grade industrial system design
- 💡The importance of comprehensive technical proposals for securing industrial project approval
- 💡Leading a multidisciplinary team to deliver a complex technical project