1A2-A04 Road Surface Washing System for Decomtaminating Radioactive Substances using Multiple Mobile Robots : Control Method for a Washing Robot(Cooperation Control of Multi Robots)

2013 ◽  
Vol 2013 (0) ◽  
pp. _1A2-A04_1-_1A2-A04_3
Author(s):  
Misuru Endo ◽  
Takao Kakizaki
Keyword(s):  
Mobile Robots ◽  
Control Method ◽  
Road Surface ◽  
Multiple Mobile Robots ◽  
Radioactive Substances ◽  
Robot Cooperation

scholarly journals SDRE based Leader-Follower Formation Control of Multiple Mobile Robots

2014 ◽  
Vol 15 (2) ◽  
Author(s):  
Caio Igor Gonçalves Chinelato ◽  
L.S. Martins-Filho
Keyword(s):  
Mobile Robots ◽  
Formation Control ◽  
Control Method ◽  
Nonlinear Dynamical System ◽  
Control Performance ◽  
Font Size ◽  
Multiple Mobile Robots ◽  
Nonlinear Dynamical ◽  
Control Techniques ◽  
State Dependent

<span style="font-family: T3Font_6; font-size: xx-small;"><span style="font-family: T3Font_6; font-size: xx-small;"><em> <span style="font-size: small;"> </span></em><p class="MsoNormal" style="margin: 0cm 0cm 0pt; text-align: justify;"><em><em style="mso-bidi-font-style: normal;"><span style="font-size: 11pt; mso-bidi-font-size: 10.0pt; mso-ansi-language: EN-US;" lang="EN-US">Formation control of multiple mobile robots is relatively a new area of robotics and increase the control performance and advantages of multiple mobile robots systems. <a name="OLE_LINK72">In this work we present a study concerning the modeling and formation control of a robotic system composed by two mobile robots, where one robot is the leader and the other is follower</a></span></em><em style="mso-bidi-font-style: normal;"><span style="font-size: 11pt; mso-bidi-font-size: 10.0pt; mso-ansi-language: EN-US;" lang="EN-US">. The system is a nonlinear dynamical system and cannot be controlled by traditional linear control techniques. The control strategy proposed is the SDRE (State-Dependent Riccati Equation) method. Simulations results with the software Matlab show the efficiency of the control method.</span></em></em></p><span style="font-size: small;"> </span></span></span>

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.

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
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