Fuzzy Support Vector Machine-based Multi-agent Optimal Path

A mobile robot to navigate purposefully from a start location to a target location, needs three basic requirements: sensing, learning, and reasoning. In the existing system, the mobile robot navigates in a known environment on a predefined path. However, the pervasive presence of uncertainty in sensing and learning, makes the choice of a suitable tool of reasoning and decision-making that can deal with incomplete information, vital to ensure a robust control system. This problem can be overcome by the proposed navigation method using fuzzy support vector machine (FSVM). It proposes a fuzzy logic-based support vector machine (SVM) approach to secure a collision-free path avoiding multiple dynamic obstacles. The navigator consists of an FSVM-based collision avoidance. The decisions are taken at each step for the mobile robot to attain the goal position without collision. Fuzzy-SVM rule bases are built, which require simple evaluation data rather than thousands of input-output training data. The effectiveness of the proposed method is verified by a series of simulations and implemented with a microcontroller for navigation.Defence Science Journal, 2010, 60(4), pp.387-391, DOI:http://dx.doi.org/10.14429/dsj.60.49

Optimal path planning approach to Grid environment

Resource Providers & Consumers to navigate purposefully in Grid ambience needs three basic requirements: sensing the nodes, learning and reasoning the budget. In the existing system this is accomplished in a known environment in a predefined path. However, the pervasive presence of uncertainty in sensing and learning makes the choice of a suitable tool of reasoning and decision making that can deal with incomplete information, vital to ensure a robust Grid system. This problem can be overcome by the proposed navigation method using Fuzzy Support Vector Machine (FSVM). It proposes a fuzzy logic based SVM approach to secure a collision free path avoiding multiple dynamic obstacles. The navigator consists of an FSVM -Based Collision Avoidance. The decisions are taken at each step for the providers & consumers to negotiate without collision. Fuzzy-SVM rule bases are built, which requires simple evaluation data based on the active participants in the grid at a given point of time. The effectiveness of the proposed method is verified by a series of simulations and implemented with a BOINC Manager