Implementation and Comparison of BUG Algorithms on ROS

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper conducts a research study and a comparative evaluation of Bug Algorithms to assess their potential for robotic navigation using Robot Operating System (ROS). Because these methods require local knowledge, they demand less computational capacity and are simple to implement. Robots that use these algorithms are also more comfortable to build because they need few sensors. We compare several Bug Algorithms using a robot, simulated in a Gazebo environment where they are subjected to various failure cases founded on the environment. Based on the simulation results, we compare the performance of the Bug Algorithms and determine whether they are suitable for use in the real world. This paper discusses and compares Bug 0, Bug 1, Bug 2, Com1, Alg1, Alg2, DistBug, Rev1, and Rev2. Bug 0, Bug 1 and Bug 2 have been implemented using Robot Operating System (ROS) and compared the performances.

Original languageEnglish
Title of host publication2023 2nd International Conference for Innovation in Technology, INOCON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350320923
DOIs
Publication statusPublished - 2023
Event2nd International Conference for Innovation in Technology, INOCON 2023 - Bangalore, India
Duration: 03-03-202305-03-2023

Publication series

Name2023 2nd International Conference for Innovation in Technology, INOCON 2023

Conference

Conference2nd International Conference for Innovation in Technology, INOCON 2023
Country/TerritoryIndia
CityBangalore
Period03-03-2305-03-23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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