scholarly journals PRS: a high level supervision and control language for autonomous mobile robots

2002 ◽  
Author(s):  
F.F. Ingrand ◽  
R. Chatila ◽  
R. Alami ◽  
F. Robert
Keyword(s):  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Control Language ◽  
High Level ◽  
And Control

ECLiPSe – From LP to CLP

2011 ◽  
Vol 12 (1-2) ◽  
pp. 127-156 ◽  
Author(s):  
JOACHIM SCHIMPF ◽  
KISH SHEN
Keyword(s):  
Logic Programming ◽  
Constraint Programming ◽  
Combinatorial Problem ◽  
Third Party ◽  
Programming System ◽  
Development Environment ◽  
Control Language ◽  
Extended Prolog ◽  
High Level ◽  
And Control

AbstractECLiPSe is a Prolog-based programming system, aimed at the development and deployment of constraint programming applications. It is also used for teaching most aspects of combinatorial problem solving, for example, problem modelling, constraint programming, mathematical programming and search techniques. It uses an extended Prolog as its high-level modelling and control language, complemented by several constraint solver libraries, interfaces to third-party solvers, an integrated development environment and interfaces for embedding into host environments. This paper discusses language extensions, implementation aspects, components, and tools that we consider relevant on the way from Logic Programming to Constraint Logic Programming.

scholarly journals Dedicated Filter for Robust Occupancy Grid Mapping

2014 ◽  
Vol 4 (1) ◽  
pp. 82
Author(s):  
KS Nagla ◽  
Moin Uddin ◽  
Dilbag Singh
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Internal Representation ◽  
Optimal Solution ◽  
Autonomous Mobile Robots ◽  
Infrared Sensors ◽  
Occupancy Grid ◽  
Frame Work ◽  
High Level ◽  
Fundamental Requirement

<p>Sensor based perception of the environment is an emerging area of the mobile robot research where sensors play a pivotal role. For autonomous mobile robots, the fundamental requirement is the convergent of the range information in to high level internal representation. Internal representation in the form of occupancy grid is commonly used in autonomous mobile robots due to its various advantages. There are several sensors such as vision sensor, laser rage finder, and ultrasonic and infrared sensors etc. play roles in mapping. However the sensor information failure, sensor inaccuracies, noise, and slow response are the major causes of an error in the mapping. To improve the reliability of the mobile robot mapping multisensory data fusion is considered as an optimal solution. This paper presents a novel architecture of sensor fusion frame work in which a dedicated filter (DF) is proposed to increase the robustness of the occupancy grid for indoor environment. The technique has been experimentally verified for different indoor test environments. The proposed configuration shows improvement in the occupancy grid with the implementation of dedicated filters.</p>

scholarly journals Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 35338-35370 ◽  
Author(s):  
Md. A. K. Niloy ◽  
Anika Shama ◽  
Ripon K. Chakrabortty ◽  
Michael J. Ryan ◽  
Faisal R. Badal ◽  
...  
Keyword(s):  
Mobile Robots ◽  
Autonomous Mobile Robots ◽  
Critical Design ◽  
And Control
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