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This Proposed Reinforcement learning supports for optimal path selection for Mobile Robot Navigation in an indoor grid (10×10) environment. Without Prior knowledge in the environment, mobile robot calculates Q-values using current and future discounted reward in each time step. Based on the reinforcement, mobile robot learns the environment, selects the navigation path to reach the goal. Markov Decision...
Dynamic programming (DP) approach to shortest path algorithm provides a global optimal solution to robot path planning in an indoor environment. The proposed DP shortest path algorithm for real-time provides collision-free robot-path planning in which the barriers is permitted to move in an indoor environment. Environment is represented as a grid map, each grid point records the distance to the target...
The proposed system assists the sensor based mobile robot navigation in an indoor environment using fuzzy logic controller. Fuzzy logic control is well suited for controlling a mobile robot because it is capable of making inferences even under uncertainty. It assists rules generation and decision-making. It uses set of linguistic fuzzy rules to implement expert knowledge under various situations....
We have developed a plant-Escherichia coli pASV shuttle vector from the essential elements of the Ageratum yellow vein virus (AYVV). The geminivirus vector contains the AYVV genome with the coat-protein deletion, the E. coli vector backbone of pUC19, a unique cloning site and gene expression cassettes for plant selection and reporter gene activity. The replication of pASV vectors was compared in Nicotiana...
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