Motion coordination and path planning of robot system using MATLAB
MRSs, or multi-robot systems, are extremely essential and meaningful in robotics research. A single-robot system or coordination, on the other hand, contains only one individual robot that can model itself, including the surroundings and even the interaction. In a single coordination system, the...
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sg-ntu-dr.10356-1573032023-07-07T19:08:19Z Motion coordination and path planning of robot system using MATLAB Li, Weinan Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering::Electrical and electronic engineering MRSs, or multi-robot systems, are extremely essential and meaningful in robotics research. A single-robot system or coordination, on the other hand, contains only one individual robot that can model itself, including the surroundings and even the interaction. In a single coordination system, the robot is often utilized to handle a job on its own. There are two keys that are far apart in space and must be activated simultaneously. As a result, one of the intrinsic limitations of a single-robot system is its restricted space. The project, in this report that I researched and analyzed the Intelligent motion coordination for a or multi ground robots. As well as the control of robots and path planning. In simulation part, I implemented robot’s motion and robot’s control by writing certain codes and algorithms. These simulations were implemented by me in MATLAB, ROS toolbox (Robot Operating System), Robotic playground, including stateflow, MATLAB function, PID control, and even image processing. Also in this project, the type of robot’s coordination was discussed, pros and cons. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-13T07:59:04Z 2022-05-13T07:59:04Z 2022 Final Year Project (FYP) Li, W. (2022). Motion coordination and path planning of robot system using MATLAB. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157303 https://hdl.handle.net/10356/157303 en P1019-202 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Li, Weinan Motion coordination and path planning of robot system using MATLAB |
description |
MRSs, or multi-robot systems, are extremely essential and meaningful in robotics
research. A single-robot system or coordination, on the other hand, contains only one
individual robot that can model itself, including the surroundings and even the
interaction. In a single coordination system, the robot is often utilized to handle a job
on its own.
There are two keys that are far apart in space and must be activated simultaneously.
As a result, one of the intrinsic limitations of a single-robot system is its restricted
space.
The project, in this report that I researched and analyzed the Intelligent motion
coordination for a or multi ground robots. As well as the control of robots and path
planning. In simulation part, I implemented robot’s motion and robot’s control by
writing certain codes and algorithms. These simulations were implemented by me in
MATLAB, ROS toolbox (Robot Operating System), Robotic playground, including
stateflow, MATLAB function, PID control, and even image processing. Also in this
project, the type of robot’s coordination was discussed, pros and cons. |
author2 |
Hu Guoqiang |
author_facet |
Hu Guoqiang Li, Weinan |
format |
Final Year Project |
author |
Li, Weinan |
author_sort |
Li, Weinan |
title |
Motion coordination and path planning of robot system using MATLAB |
title_short |
Motion coordination and path planning of robot system using MATLAB |
title_full |
Motion coordination and path planning of robot system using MATLAB |
title_fullStr |
Motion coordination and path planning of robot system using MATLAB |
title_full_unstemmed |
Motion coordination and path planning of robot system using MATLAB |
title_sort |
motion coordination and path planning of robot system using matlab |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/157303 |
_version_ |
1772826197425651712 |