Unknown Environment
Self-Organized Hybrid Wireless Sensor Network for Finding Randomly Moving Target in Unknown Environment
... Randomly moving target is efficiently found by novel proposed technique. MSNs are allowed to move in only three random directions. Without control of third parties, MSNs move autonomously and find target successfully. A ...
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Path Planning in Outdoor and Unknown Environment using BAPSO Algorithm
... their environment. A mobile robot exploring an unknown environment has no absolute frame of reference for its position, other than features it detects through its sensors ...
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Exploration of unknown environment with Ackerman mobile robot using robot operating system (ROS)
... In this paper, authors present a series of work in order to explore unknown environment consists of path and obstacles with the Ackerman model of wheeled mobile robot (car-like). Robot operating system ...
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Robot Path Planning in a Dynamic and Unknown Environment Based on Colonial Competitive Algorithm (CCA) and Fuzzy Logic
... an unknown environment with movable obstacles has been widely ...the unknown environments, because in the beginning, roadmap must be specified [1, ...
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Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic
... Robot path planning in a trajectory has been one of the interesting areas for many Machine Learning and Pattern Recognition researchers from the past till date. Robot path planning can be simple and somewhat complex. The ...
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A Survey on Obstacles Avoidance Mobile Robot in Static Unknown Environment
... Path planning module based on fuzzy logic for autonomous motion control was presented for reactive navigation. The authors used stereo vision based modules to be able to maneuver complex unknown ...
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Autonomous robot patrolling of a sparsely populated unknown environment
... Figure 3.2 shows the interaction of all the forces that effect the robot’s movement. In the diagram the red star is robot 1. The diagram shows robot 1 in the process of sensing it’s environment and may be in ...
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Navigation of Automatic Vehicles Techniques of Ai
... In the field of navigation of mobile robots has been studied and the task of A new generation of mobile robots no Co robot. This mobile robot navigation was Seen in an unknown environment. We consider ...
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Mobile Robot Navigation using Wavelet Network and Fuzzy Logic
... in unknown environment such as warehouses, offices and industries ...the environment, planning a route from an initial to a goal position with obstacle avoidance, and controlling the mobile robot ...
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A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections
... partly unknown environment by using a (non-) linear para- metric parsimonious model, is ...is unknown but non- random practically means that it can be intentionally chosen to mask the anomaly/target, ...
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The Proposed Fuzzy IAMR Approach
... In this paper, we have presented a fuzzy logic imple- mentation of navigation approach of an autonomous mo- bile robot in an unknown environment using hybrid intel- ligent control fuzzy logic and Expert ...
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A New Dynamic Self Organizing Method for Mobile Robot Environment Mapping
... an unknown environment is achieved by using on-line sensory ...correct environment model is usually needed and the robot can update the model by using sensory ...the environment automati- ...
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Learning Goal Seeking and Obstacle Avoidance using the FQL Algorithm
... unknown environment. The method we will suggest ensures navigation in unknown environments with presence off different obstacles shape and consists in bringing the robot in a goal position, avoiding ...
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Simulation of an autonomous vehicle localization
... an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute absolute vehicle ...an unknown ...
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Interval Type 2 Fuzzy Logic Control of Mobile Robots
... Secondly, to prove the efficiency of type-2 fuzzy sets in the setting of local avoiding obstacles, we tested the controllers towards moving obstacles in dynamic and unknown environment. For T2 controller, ...
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A Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm
... and unknown environment is investigated and a navigation method based on force field approach is ...in unknown environment and builds the map through SLAM ...are unknown, they are ...
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A New Single valued Neutrosophic Distance for MABAC, TOPSIS and New Similarity Measure in Multi attribute Decision Making
... In order to make a proper decision-making, Hwang and Yoon [4] originally introduced the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method for selecting the appropriate machine. The idea of ...
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A New Single-valued Neutrosophic Distance for TOPSIS, MABAC and New Similarity Measure in Multi-Attribute Decision-Making
... selecting the appropriate machine. The idea of this method is that the best alternative should have shortest distance from the positive-ideal solution and the longest distance from the negative-ideal solution. And ...
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COVID-19 and Kawasaki like disease: the known-known, the unknown- known and the unknown-unknown
... found that 93 had a positive respiratory viral PCR (54 Rhinovirus/enterovirus, 2 Hcov-OC43 and 3 Hcov-NL63), however there was no difference with the control population (Turnier et al. 2015). Finally, study of ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... It is seen from Fig.5 and Fig.6 that average localization error of improved algorithm is about 43% lower than that of DV-Hop when communication radiuses of anchor nodes are different. There exists inverse relationship ...
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