Modeling and scheduling of e-puck mobile robots for minimum make-span transportation masks

• Main Author: Menon, Satish
• Other Authors: Su Rong
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems; DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering; DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
• Online Access: http://hdl.handle.net/10356/63705
• Institution: Nanyang Technological University

International trade in is an industry which is constantly moving and ever-changing. The import and export of goods via the means of land delivery, air delivery and sea delivery is constantly happening. This industry is a key pillar for economic reasons in countries all over the globe. As such, implementation of an automated system would greatly increase efficiency and productivity. This allow for better deployment of manpower for a more efficient operation. Singapore, located in a strategic place in South East Asia (S. E. A.), has one of the world’s busiest ports in the region and the world. In the early stages of international trade, the traditional approach to execute such a task is to use a large amount of manpower to execute its primary task of transporting cargo from storage to the vessels and vice versa. As the intensity of port operations increase due to increased trade in a globalized market, there are several limitations which would hinder normal operations. Limitations such as manpower constraint, safety constraints and long working hours of employees, have prompted calls for greater automation for such processes. Therefore, for this Final Year Project (FYP), by utilizing the hardware component (E-Puck Mobile Robots) and the software component (Visual Studio Software and Python and Iron Python Software) to execute and create model simulations for port operations, so as to create a complete autonomous system for port industries.