A 24*7 patrolling mobile robot (part 1 - navigation)
Navigation is one of the research topics that are greatly funded by both government and private sector. A good example is the rising development of low-cost robotic space exploration where the robot is tasked to navigate and collect data from any specific planet or moon. Navigation can b...
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sg-ntu-dr.10356-449192023-07-07T17:25:35Z A 24*7 patrolling mobile robot (part 1 - navigation) Tan, Zhi Ping. Sung, Eric School of Electrical and Electronic Engineering A*STAR Data Storage Institute DRNTU::Engineering::Electrical and electronic engineering Navigation is one of the research topics that are greatly funded by both government and private sector. A good example is the rising development of low-cost robotic space exploration where the robot is tasked to navigate and collect data from any specific planet or moon. Navigation can be classified into Localization, Path Planning and Obstacle Avoidance. Localization is the ability to locate the current position of the robot within a region. Path planning is a searching algorithm using a static map to compute a path to reach the target goal using the given current position while Obstacle Avoidance is the capability to re-plan the given path by the Path Planning to prevent it from crashing into the obstacles. In this Final Year Project, my task is to experiment with Dijkstra’s Algorithm for its reliability in Path Planning and investigate which techniques, namely Trajectory Planner or Dynamics Window Approach (DWA), is more suitable for Obstacle Avoidance. Bachelor of Engineering 2011-06-07T02:39:51Z 2011-06-07T02:39:51Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44919 en Nanyang Technological University 48 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Tan, Zhi Ping. A 24*7 patrolling mobile robot (part 1 - navigation) |
description |
Navigation is one of the research topics that are greatly funded by both government and
private sector. A good example is the rising development of low-cost robotic space
exploration where the robot is tasked to navigate and collect data from any specific planet or
moon.
Navigation can be classified into Localization, Path Planning and Obstacle Avoidance.
Localization is the ability to locate the current position of the robot within a region. Path
planning is a searching algorithm using a static map to compute a path to reach the target goal
using the given current position while Obstacle Avoidance is the capability to re-plan the
given path by the Path Planning to prevent it from crashing into the obstacles.
In this Final Year Project, my task is to experiment with Dijkstra’s Algorithm for its reliability
in Path Planning and investigate which techniques, namely Trajectory Planner or Dynamics
Window Approach (DWA), is more suitable for Obstacle Avoidance. |
author2 |
Sung, Eric |
author_facet |
Sung, Eric Tan, Zhi Ping. |
format |
Final Year Project |
author |
Tan, Zhi Ping. |
author_sort |
Tan, Zhi Ping. |
title |
A 24*7 patrolling mobile robot (part 1 - navigation) |
title_short |
A 24*7 patrolling mobile robot (part 1 - navigation) |
title_full |
A 24*7 patrolling mobile robot (part 1 - navigation) |
title_fullStr |
A 24*7 patrolling mobile robot (part 1 - navigation) |
title_full_unstemmed |
A 24*7 patrolling mobile robot (part 1 - navigation) |
title_sort |
24*7 patrolling mobile robot (part 1 - navigation) |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/44919 |
_version_ |
1772826673845108736 |