Precise indoor localization of multiple mobile robots with adaptive sensor fusion using odometry and vision data

2014 ◽  
Vol 47 (3) ◽  
pp. 7182-7189 ◽  
Author(s):  
Ganzorig Baatar ◽  
Mike Eichhorn ◽  
Christoph Ament
Keyword(s):  
Mobile Robots ◽  
Sensor Fusion ◽  
Indoor Localization ◽  
Multiple Mobile Robots

3P1-K05 Laser-based Size and Posture Estimation of Moving Objects with Multiple Mobile Robots(3D Measurement/Sensor Fusion)

2014 ◽  
Vol 2014 (0) ◽  
pp. _3P1-K05_1-_3P1-K05_4
Author(s):  
Ryunosuke IZUMI ◽  
Yuto TAMURA ◽  
Masafumi HASHIMOTO ◽  
Kazuhiko TAKAHASHI
Keyword(s):  
Mobile Robots ◽  
Sensor Fusion ◽  
Moving Objects ◽  
3D Measurement ◽  
Multiple Mobile Robots ◽  
Measurement Sensor ◽  
Posture Estimation

Distributed Algorithms for Controlling Multiple Mobile Robots

1994 ◽  
Author(s):  
Kazuo Sugihara ◽  
Ichiro Suzuki
Keyword(s):  
Mobile Robots ◽  
Distributed Algorithms ◽  
Multiple Mobile Robots

scholarly journals A novel edge gradient algorithm for multiple mobile robots cooperative mapping in unknown environment

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141986038
Author(s):  
Huang Yiqing ◽  
Wang Hui ◽  
Wei Lisheng ◽  
Gao Wengen ◽  
Ge Yuan
Keyword(s):  
Visual Field ◽  
Mobile Robots ◽  
Information Exchange ◽  
Field Of View ◽  
Gradient Algorithm ◽  
Movement Direction ◽  
Mapping Technique ◽  
Map Building ◽  
Multiple Mobile Robots ◽  
Motion Behavior

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.

System for indoor localization of mobile robots by using machine vision

2015 ◽  
Author(s):  
Nemanja V. Jankovic ◽  
Svetislav V. Ciric ◽  
Nenad S. Jovicic
Keyword(s):  
Machine Vision ◽  
Mobile Robots ◽  
Indoor Localization

Handling of a single object by multiple mobile robots based on caster-like dynamics

2008 ◽  
Author(s):  
Yasuhisa Hirata ◽  
Youhei Kume ◽  
Zhi-dong Wang ◽  
Kazuhiro Kosuge
Keyword(s):  
Mobile Robots ◽  
Single Object ◽  
Multiple Mobile Robots

Motion Planning for Cooperative Transportation of a Large Object by Multiple Mobile Robots.

2002 ◽  
Vol 68 (665) ◽  
pp. 165-172
Author(s):  
Atsushi YAMASHITA ◽  
Masaki FUKUCHI ◽  
Jun OTA ◽  
Tamio ARAI ◽  
Hajime ASAMA
Keyword(s):  
Motion Planning ◽  
Mobile Robots ◽  
Large Object ◽  
Multiple Mobile Robots ◽  
Cooperative Transportation

Multiple mobile robots real-time visual search algorithm

2010 ◽  
Author(s):  
Caixia Yan ◽  
Qiang Zhan
Keyword(s):  
Visual Search ◽  
Mobile Robots ◽  
Real Time ◽  
Search Algorithm ◽  
Multiple Mobile Robots

scholarly journals On the problem of multiple mobile robots cluttering a workspace

1992 ◽  
Vol 63 (1-2) ◽  
pp. 55-85 ◽  
Author(s):  
B.J. Oommen ◽  
I. Reichstein
Keyword(s):  
Mobile Robots ◽  
Multiple Mobile Robots
Sign in / Sign up

Export Citation Format

Share Document