Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157334
Title: Path planning and tracking of a network intelligent robot
Authors: Tan, Yu Qin
Keywords: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, Y. Q. (2022). Path planning and tracking of a network intelligent robot. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157334
Project: A1065-211
Abstract: Artificial intelligence (AI) has seen major improvements in the past decade, with much more applications of AI in various sectors, from board games to cybersecurity to engineering. In this report, we explore the use of AI in controlling a mobile robot to follow a given path, specifically using Reinforcement Learning (RL). A model of the mobile robot with inputs linear velocity and angular velocity, [v, ω] will be used for this project. Deep Deterministic Policy Gradient (DDPG) will be used to control these 2 inputs to follow a path. Firstly, a simple trajectory will be given, which is in a straight positive 𝑥 direction. This can be achieved using a reward-based algorithm where a reward is given for moving in the positive direction while a penalty is given for any deviation in the y-direction or orientation.
URI: https://hdl.handle.net/10356/157334
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Tan Yu Qin FYP Report.pdf
  Restricted Access
3.52 MBAdobe PDFView/Open

Page view(s)

15
Updated on May 17, 2022

Download(s)

6
Updated on May 17, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.