scholarly journals MARES — Navigation, Control and On-board Software

10.5772/6709 ◽  
2009 ◽  
Author(s):  
Anbal Matos ◽  
Nuno Cruz
Keyword(s):  
Navigation Control

Design and navigation control of an advanced level CANSAT

2011 ◽  
Author(s):  
Mansur Celebi ◽  
Serdar Ay ◽  
Mohammed Khalil Ibrahim ◽  
Mustafa Emre Aydemir ◽  
Messaoud Bensaada ◽  
...  
Keyword(s):  
Advanced Level ◽  
Navigation Control

Relative navigation control of articulated vehicle based on LTV-MPC

2021 ◽  
Vol 28 (1) ◽  
pp. 34
Author(s):  
Li Liu ◽  
Yu Meng ◽  
Weidong Luo ◽  
Qing Gu ◽  
Guoxing Bai
Keyword(s):  
Relative Navigation ◽  
Articulated Vehicle ◽  
Navigation Control

scholarly journals Interval Type-2 Neural Fuzzy Controller-Based Navigation of Cooperative Load-Carrying Mobile Robots in Unknown Environments

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4181 ◽  
Author(s):  
Chun-Hui Lin ◽  
Shyh-Hau Wang ◽  
Cheng-Jian Lin
Keyword(s):  
Mobile Robots ◽  
Control Method ◽  
Fuzzy Controller ◽  
Bee Colony ◽  
Load Carrying ◽  
Navigation Control ◽  
Interval Type ◽  
Navigation Method ◽  
Neural Fuzzy

In this paper, a navigation method is proposed for cooperative load-carrying mobile robots. The behavior mode manager is used efficaciously in the navigation control method to switch between two behavior modes, wall-following mode (WFM) and goal-oriented mode (GOM), according to various environmental conditions. Additionally, an interval type-2 neural fuzzy controller based on dynamic group artificial bee colony (DGABC) is proposed in this paper. Reinforcement learning was used to develop the WFM adaptively. First, a single robot is trained to learn the WFM. Then, this control method is implemented for cooperative load-carrying mobile robots. In WFM learning, the proposed DGABC performs better than the original artificial bee colony algorithm and other improved algorithms. Furthermore, the results of cooperative load-carrying navigation control tests demonstrate that the proposed cooperative load-carrying method and the navigation method can enable the robots to carry the task item to the goal and complete the navigation mission efficiently.

Propulsion and Navigation Control of MRI-Guided Drug Delivery Nanorobots

Nanorobotics ◽  
2012 ◽  
pp. 243-273
Author(s):  
Laurent Arcese ◽  
Matthieu Fruchard ◽  
Antoine Ferreira
Keyword(s):  
Drug Delivery ◽  
Navigation Control ◽  
Mri Guided
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