Ant colony test center for planning autonomous mobile robot navigation. Issue 2 (21st June 2010)
- Record Type:
- Journal Article
- Title:
- Ant colony test center for planning autonomous mobile robot navigation. Issue 2 (21st June 2010)
- Main Title:
- Ant colony test center for planning autonomous mobile robot navigation
- Authors:
- Montiel‐Ross, Oscar
Sepúlveda, Roberto
Castillo, Oscar
Melin, Patricia - Abstract:
- <abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>This paper presents the navigation software called Ant Colony Test Center designed to teach the different stages involved in mobile robotics. The navigation problem consists of the four subproblems: world perception, path planning, path generation, and path tracking. This software based on ant colonies has two operational modes: virtual and on‐line. In virtual mode, is able to achieve path generation, path planning and virtual path tracking at once, since the virtual mobile robots "ants" searches for the objective point generating feasible paths, then generate a set of subgoals to obtain the optimal path, since the optimal path was obtained using a cost function that considers the robot architecture, the optimal trajectory for the robot also is obtained. In on‐line mode, the robot is able to sense the world using stereoscopic vision, the map is updated using epipolar geometry, and the on‐line navigation problem is handled similar to the virtual mode. The software has many educational skills, since students can learn about path generation, optimal planning and path tracking using the heuristic methodology known as Ant Colony Optimization that recently has had good acceptance for solving discrete optimization planning problems. The platform is also a good tool to learn about stereoscopic vision and epipolar geometry that is one of the best sensing methods in mobile robotics. © 2010 Wiley Periodicals, Inc.<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>This paper presents the navigation software called Ant Colony Test Center designed to teach the different stages involved in mobile robotics. The navigation problem consists of the four subproblems: world perception, path planning, path generation, and path tracking. This software based on ant colonies has two operational modes: virtual and on‐line. In virtual mode, is able to achieve path generation, path planning and virtual path tracking at once, since the virtual mobile robots "ants" searches for the objective point generating feasible paths, then generate a set of subgoals to obtain the optimal path, since the optimal path was obtained using a cost function that considers the robot architecture, the optimal trajectory for the robot also is obtained. In on‐line mode, the robot is able to sense the world using stereoscopic vision, the map is updated using epipolar geometry, and the on‐line navigation problem is handled similar to the virtual mode. The software has many educational skills, since students can learn about path generation, optimal planning and path tracking using the heuristic methodology known as Ant Colony Optimization that recently has had good acceptance for solving discrete optimization planning problems. The platform is also a good tool to learn about stereoscopic vision and epipolar geometry that is one of the best sensing methods in mobile robotics. © 2010 Wiley Periodicals, Inc. Comput Appl Eng Educ 21: 214–229, 2013</p> </abstract> … (more)
- Is Part Of:
- Computer applications in engineering education. Volume 21:Issue 2(2013:Jun.)
- Journal:
- Computer applications in engineering education
- Issue:
- Volume 21:Issue 2(2013:Jun.)
- Issue Display:
- Volume 21, Issue 2 (2013)
- Year:
- 2013
- Volume:
- 21
- Issue:
- 2
- Issue Sort Value:
- 2013-0021-0002-0000
- Page Start:
- 214
- Page End:
- 229
- Publication Date:
- 2010-06-21
- Subjects:
- Engineering -- Study and teaching (Higher) -- Periodicals
Engineering -- Computer-assisted instruction -- Periodicals
620 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-0542 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/cae.20463 ↗
- Languages:
- English
- ISSNs:
- 1061-3773
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3393.646000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3294.xml