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[PDF] Top 20 A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments

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A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments

A Frontier Based Multi-Robot Approach for Coverage of Unknown Environments

... the robot evades the obstacle and updates the ...window based approach(DWA) ...window based approaches, a cost func- tion is computed which encodes the cost of traveling towards the goal in ... See full document

86

Qualitative Topological Coverage of Unknown Environments by Mobile Robots

Qualitative Topological Coverage of Unknown Environments by Mobile Robots

... planning coverage paths in this ...the robot has covered. This di ffi culty in storing coverage information is overcome by embedding a cell decomposition, called slice decomposition, within the ...a ... See full document

214

A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments

A New Frontier Based Approach for Multi-Robot Coverage in Unknown Environments

... new multi- robot coverage strategy for unknown environments which is faster and realistic than earlier ...2D environments. In our proposed approach, individual robots will ... See full document

133

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... an approach implementing specification-based conversion testing that automates the creation of input test models, functions and carrying out test scripts in the same transformation ...metamodel ... See full document

11

Dynamic graph based search in unknown environments

Dynamic graph based search in unknown environments

... operative multi-robot ...of multi-robot localization as a Multi-SLAM problem [10], others, while still using probabilis- tic methods, attempt to take into consideration robots as ... See full document

20

Multi-robot systems : modeling swarm dynamics and designing inspection planning algorithms

Multi-robot systems : modeling swarm dynamics and designing inspection planning algorithms

... to multi-robot approaches offers potential advantages over single robot systems in robustness, efficiency, and applica- tion ...real-world multi-agent systems to assist humans in everyday ... See full document

164

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... proposed approach systematically resolves data temperature block accessibility latency and contention issue of multiple storage-tier devices over Hadoop ... See full document

7

A Novel Behavior-based Navigation Architecture of Mobile Robot in Unknown Environments

A Novel Behavior-based Navigation Architecture of Mobile Robot in Unknown Environments

... mobile robot in unknown ...of multi-objective optimization to fuse control ...in unknown environments with unpredictable obstacles ... See full document

15

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... As a conclusions remarks from previous related studies of tenable pluse-based UWB proposed solutions, discussions are mainly focusing on methodology used to validate such proposals, and the efficiency of the ... See full document

11

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... Figure 7 shows the authentication delay measured for DMHBGKA and DMTM when the number of attackers is varied. When the number of attackers is increased from 2 to 10 the delay of DMHBGKA and DMTM increase, as seen from ... See full document

10

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... conventional approach of optical path computation in-terms of the less blocking probability (which is calculated as the probability of not establishing feasible ... See full document

13

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... web based system of expert reliant application to determine the adequacy of livestock so as to help the laymen to determine the satisfactoriness of ...inferences. Based on the unit test shown, this ... See full document

13

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... respectively. The results of this research are classification of Twitter users’ interests in music genre categories (jazz, pop, or rock) and their sentiments (positive, negative, or neutral). Various benefits are ... See full document

7

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... GNP-RL [31-36] is an extension of GNP [37] and it is efficiently combined evolution and learning. Evolutionary computation generally has an advantage in diversified search ability, while reinforcement learning has an ... See full document

13

Sensor-Based Intelligent Mobile Robot Navigation in Unknown Environments Prasad Layam 1, Dr. Vitushi Sarma2

Sensor-Based Intelligent Mobile Robot Navigation in Unknown Environments Prasad Layam 1, Dr. Vitushi Sarma2

... in unknown environments with obstacles using the Sun SPOT technology and a fuzzy reactive navigation strategy of collisionfree motion and velocity control in unknown environments with ... See full document

5

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... 3. DISCRETE WAVELET TRANSFORM The Discrete Wavelet Transform (DWT), which is based on sub-band coding is found to yield a fast computation of Wavelet Transform [11]. It is easy to implement and reduces the ... See full document

11

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... The motivation in this rescerch On belief that successfully being able to develop such academic advisory expert system will lead to an increase in the breadth and scope of problems to which students, academic staff, and ... See full document

13

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... - The minimum number of scientific studies on usage of cloud technologies in preparation of future teachers of computer science. Feature of preparation of future computer science teacher consists in the fact that the ... See full document

8

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... Based on this study, the integration of the three methods such as surface, runtime and static code was able to give more detail the characteristics of ransomware, thus the prevention of ransomware attack can be ... See full document

8

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE 
ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

GENETIC NETWORK PROGRAMMING REINFORCEMENT LEARNING BASED SAFE AND SMOOTH MOBILE ROBOT NAVIGATION IN UNKNOWN DYNAMIC ENVIRONMENTS

... PERFORMANCE INCREMENT OF HIGH SCHOOL STUDENTS USING ANN MODEL AND SA ALGORITHM ANAS BLASI Assistant Professor, Mutah University, Department of Computer Science, Jordan ABSTRACT In this s[r] ... See full document

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