A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment. (19th July 2019)
- Record Type:
- Journal Article
- Title:
- A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment. (19th July 2019)
- Main Title:
- A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment
- Authors:
- Yiqing, Huang
Hui, Wang
Lisheng, Wei
Wengen, Gao
Yuan, Ge - Abstract:
- This article presented a cooperative mapping technique using a novel edge gradient algorithm for multiple mobile robots. The proposed edge gradient algorithm can be divided into four behaviors such as adjusting the movement direction, evaluating the safety of motion behavior, following behavior, and obstacle information exchange, which can effectively prevent multiple mobile robots falling into concave obstacle areas. Meanwhile, a visual field factor is constructed based on biological principles so that the mobile robots can have a larger field of view when moving away from obstacles. Also, the visual field factor will be narrowed due to the obstruction of the obstacle when approaching an obstacle and the obtained map-building data are more accurate. Finally, three sets of simulation and experimental results demonstrate the performance superiority of the presented algorithm.
- Is Part Of:
- International journal of advanced robotic systems. Volume 16:Number 4(2019:Jul./Aug.)
- Journal:
- International journal of advanced robotic systems
- Issue:
- Volume 16:Number 4(2019:Jul./Aug.)
- Issue Display:
- Volume 16, Issue 4 (2019)
- Year:
- 2019
- Volume:
- 16
- Issue:
- 4
- Issue Sort Value:
- 2019-0016-0004-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-07-19
- Subjects:
- Multiple mobile robots -- cooperative mapping -- visual field factor -- edge gradient algorithm
Robotics -- Periodicals
Robotics
Periodicals
629.892 - Journal URLs:
- http://arx.sagepub.com/ ↗
http://search.epnet.com/direct.asp?db=bch&jid=13CR&scope=site ↗
http://www.intechweb.org/journal.php?id=3 ↗
http://www.uk.sagepub.com/home.nav ↗ - DOI:
- 10.1177/1729881419860380 ↗
- Languages:
- English
- ISSNs:
- 1729-8806
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11260.xml