Analysis of Local Trajectory Planners for Mobile Robot with Robot Operating System

SUMMARY A new coverage path planning (CPP) algorithm, namely cell permeability-based coverage (CPC) algorithm, is proposed in this paper. Unlike the most CPP algorithms using approximate cellular decomposition, the proposed algorithm achieves exact coverage with lower coverage overlap compared to that with the existing algorithms. Apart from a formal analysis of the algorithm, the performance of the proposed algorithm is compared with two representative approximate cellular decomposition-based coverage algorithms reported in the literature. Results of demonstrative experiments on a TurtleBot mobile robot within the robot operating system/Gazebo environment and on a Fire Bird V robot are also provided.

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Autonomous Mobile Robot Using RGB-D SLAM and Robot Operating System

Lecture Notes in Networks and Systems - Inventive Communication and Computational Technologies ◽

10.1007/978-981-15-0146-3_93 ◽

2020 ◽

pp. 963-969

Author(s):

Jash Mota ◽

Prutha Edwankar ◽

Yash Shetye ◽

Manisha Sampat ◽

Dattatray Sawant

Keyword(s):

Operating System ◽

Mobile Robot ◽

Autonomous Mobile Robot ◽

Robot Operating System

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Path planning for car like mobile robot using robot operating system

2018 National Power Engineering Conference (NPEC) ◽

10.1109/npec.2018.8476806 ◽

2018 ◽

Author(s):

S. Julius Fusic ◽

M. Karlmarx ◽

I. Leando ◽

K. Hariharan

Keyword(s):

Operating System ◽

Path Planning ◽

Mobile Robot ◽

Robot Operating System

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Implementation and Reconfiguration of Robot Operating System on Human Follower Transporter Robot

CommIT (Communication and Information Technology) Journal ◽

10.21512/commit.v9i2.1646 ◽

2015 ◽

Vol 9 (2) ◽

pp. 59

Author(s):

Addythia Saphala ◽

Prianggada Indra Tanaya

Keyword(s):

Operating System ◽

Mobile Robot ◽

Navigation System ◽

Robot Navigation ◽

Simultaneous Localization And Mapping ◽

Kinect Sensor ◽

Operation System ◽

Robot Operating System ◽

Localization And Mapping

Robotic Operation System (ROS) is an im- portant platform to develop robot applications. One area of applications is for development of a Human Follower Transporter Robot (HFTR), which can be considered as a custom mobile robot utilizing differential driver steering method and equipped with Kinect sensor. This study discusses the development of the robot navigation system by implementing Simultaneous Localization and Mapping (SLAM).

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ROS based Autonomous Robot with Open CV

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a1050.1091s19 ◽

2019 ◽

Vol 9 (1S) ◽

pp. 249-251

Keyword(s):

Operating System ◽

Mobile Robot ◽

Autonomous Navigation ◽

General Purpose ◽

Autonomous Robot ◽

Robot Operating System ◽

Image Tracking

In this project, we have designed and developed an autonomous robot that is powered by Robot Operating System (ROS). The capabilities of the robot include autonomous navigation, image tracking and mapping. OpenCV has been implemented in the on-board microprocessor to process the images that are captured by the general purpose webcams on the robot. A microcontroller has also been used to control the motors. The ultimate aim of this project is to develop a mobile robot capable of making its own decisions based on the images received.

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