Target interception by mobile robots in a wireless sensor network

The main objective of this project is to implement an autonomous robot namely pursuer that can collaborate with sensor network to perform pursuing. The wireless sensor network will detect the intruders, then localize intruder and pass the localization information to the pursuer robot. The pursuer wi...

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主要作者: Liu, Yan.
其他作者: Xie Lihua
格式: Final Year Project
語言:English
出版: 2009
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在線閱讀:http://hdl.handle.net/10356/18009
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spelling sg-ntu-dr.10356-180092023-07-07T16:11:11Z Target interception by mobile robots in a wireless sensor network Liu, Yan. Xie Lihua School of Electrical and Electronic Engineering A*STAR Institute for Infocomm Research Centre for Intelligent Machines DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics The main objective of this project is to implement an autonomous robot namely pursuer that can collaborate with sensor network to perform pursuing. The wireless sensor network will detect the intruders, then localize intruder and pass the localization information to the pursuer robot. The pursuer will communicate with the sensor node and compute an path to intercept the intruder with obstacle avoidance capability. This project involves both the hardware and software development for the autonomous robot. For the hardware part, several improvements and modifications have been made on the previous AmigoBot. Firstly, the stargazer has been added to the AmigoBot. It uses an intelligent vision system to do the localization with a relative high accuracy. It functions as a self-localizer of the AmigoBot. Secondly, the number of IR sensors and the orientation has been modified to maximize the obstacle avoidance capability. Previously, the robot came into collision with the static sensors a lot due to the dead region. Thirdly, a direct WiFi connection has been made which increases the stability of the connection. In addition, serial port has been expanded, and the battery has been replaced as well. For the software part, the Labview programming for both the navigation and the obstacle avoidance has been developed. The new navigation algorithm is based on adjusting the forward speed and rotational speed. The parameters are collected from the wireless sensor network and the stargazer. A real-time obstacle avoidance capability has been developed as well instead of potential field which has been done previously. Bachelor of Engineering 2009-06-18T08:21:56Z 2009-06-18T08:21:56Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/18009 en Nanyang Technological University 62 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
Liu, Yan.
Target interception by mobile robots in a wireless sensor network
description The main objective of this project is to implement an autonomous robot namely pursuer that can collaborate with sensor network to perform pursuing. The wireless sensor network will detect the intruders, then localize intruder and pass the localization information to the pursuer robot. The pursuer will communicate with the sensor node and compute an path to intercept the intruder with obstacle avoidance capability. This project involves both the hardware and software development for the autonomous robot. For the hardware part, several improvements and modifications have been made on the previous AmigoBot. Firstly, the stargazer has been added to the AmigoBot. It uses an intelligent vision system to do the localization with a relative high accuracy. It functions as a self-localizer of the AmigoBot. Secondly, the number of IR sensors and the orientation has been modified to maximize the obstacle avoidance capability. Previously, the robot came into collision with the static sensors a lot due to the dead region. Thirdly, a direct WiFi connection has been made which increases the stability of the connection. In addition, serial port has been expanded, and the battery has been replaced as well. For the software part, the Labview programming for both the navigation and the obstacle avoidance has been developed. The new navigation algorithm is based on adjusting the forward speed and rotational speed. The parameters are collected from the wireless sensor network and the stargazer. A real-time obstacle avoidance capability has been developed as well instead of potential field which has been done previously.
author2 Xie Lihua
author_facet Xie Lihua
Liu, Yan.
format Final Year Project
author Liu, Yan.
author_sort Liu, Yan.
title Target interception by mobile robots in a wireless sensor network
title_short Target interception by mobile robots in a wireless sensor network
title_full Target interception by mobile robots in a wireless sensor network
title_fullStr Target interception by mobile robots in a wireless sensor network
title_full_unstemmed Target interception by mobile robots in a wireless sensor network
title_sort target interception by mobile robots in a wireless sensor network
publishDate 2009
url http://hdl.handle.net/10356/18009
_version_ 1772828650836590592