ST2172: SMART E-FORKLIFT WITH ENERGY RECOVERY SYSTEM IN LOW-CARBON WAREHOUSING

WILLIAM TAN CHONG HEE UNIVERSITY OF WOLLONGONG MALAYSIA

This Capstone project, developed by Group 4 under the School of Engineering at the University of Wollongong Malaysia, presents a dual-mode smart forklift system aimed at advancing decarbonization efforts in transportation and logistics. Leveraging a battery-powered platform, the system minimizes reliance on manual labor and internal-combustion vehicles for short-distance material handling.

In Manual Mode, operators employ the Dabble mobile app—featuring intuitive forward, backward, and rotation controls—to remotely pilot the forklift. This real-time control interface enables precise load engagement and placement while eliminating physical strain. In Automatic Mode, the forklift executes an autonomous stop-and-go sequence: after loading, a single “Start” command initiates travel along a predefined path; the downward-facing line sensor detects a horizontal black line at the delivery zone, prompting an immediate halt. A subsequent “Return” command reverses the process, bringing the vehicle back to its origin.

Integrating ultrasonic and infrared obstacle-avoidance sensors, Arduino Mega control, and energy-efficient DC motors, the design ensures safe, reliable operation in indoor laboratory or warehouse settings. By replacing manual carrying and fossil-fuel-driven forklifts for routine tasks, this project demonstrates a scalable solution for reducing carbon emissions, improving workplace safety, and enhancing operational productivity in modern logistics.