Next generation e-drivetrain for automated mobile robot part I: condition monitoring

• Main Author: Patodia, Parv
• Other Authors: Lyu Chen
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering
• Online Access: https://hdl.handle.net/10356/177667
• Institution: Nanyang Technological University

Autonomous Mobile Robot is a type of smart robot that can perform autonomous navigation, sensor detection and collaborative capabilities in a variety of workspaces like warehouses, manufacturing plants and clinics. The ever-growing popularity of robotics and automation need improved drivetrain solutions to improve efficiency, dependability, and safety. Our study, which makes use of cutting-edge technology in electric propulsion and sensor integration, focuses on the critical element of condition monitoring in EVs. However, with the boom in application uses, there comes challenges with compatibility, keeping with the data received and visualisation of data in a way that is useful for the user. For studying condition monitoring of the robot, software like MATLAB and neural network models have been used to visualize data as well as perform prediction of the factors involved. This investigation has yielded some promising results in terms of the ability to monitor several parameters for a robot. The importance of more time intervals in the efficiency of the factor prediction for the robot turned out to be a major factor as it provided the model with more training data for learning.