Autonomous Forklifts: Revolutionizing Material Handling in Factories

Material handling is an important activity in factories. It is necessary to perform the operation at a lower cost. The use of autonomous robots has the potential to reduce costs while also relieving humans of the physically demanding task of driving forklifts. This book proposes a mechatronics design and implementation of an autonomous forklift. This work takes a new look at autonomous forklifts in industrial settings. The proposed system employs advanced perception and control algorithms to enable unmanned operation in dynamic environments. The system employs a combination of sensors and motors to provide accurate situational awareness and obstacle avoidance. The proposed solution aims to increase work efficiency, enhance safety, and minimize the need for human intervention. The experimental results demonstrate that the system is capable of performing complex tasks such as pallet loading and unloading with precision and dependability. By increasing productivity, lowering costs, and improving workplace safety, the proposed model has the potential to have a significant impact on the material handling industry.

Autorentext
I am Dr. M. Bhuvaneswari. Working as Assistant Professor in the Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology from September 2013 to till date. Completed my doctorate Degree in 2022 at Anna University, Chennai in Information and Communication Engineering. Completed PG from Communication Engineering.