Agent based path planning for Robot navigation

Abstract

The objective of this research is to develop an Agent Based newlineFramework for planning the path of a robot during its mobility both in static newlineand dynamic environment Robot Path planning algorithms such as Distance newlineTransform Agent DTA Dynamic Path Planning Agent DPPA newlineReinforcement Learning RL Genetic Algorithm GA and Hybrid approach newlineof Genetic Algorithm with Gilbert Johnson Keerthi GJK will enable the newlineagents to make shortest optimal path selection with various obstacles in an newlineindoor environment effectively newlineThe Distance Transform Agent provides subtask to each agent for newlineeffective navigation The path planning agent and obstacles agent share the newlinedistance as common criteria and selects the path for mobile robot navigation newlineThe distance calculation done by the Distance Transform Agent predicts the newlineposition of the static obstacle in advance and makes the robot find the shortest newlinepath Non existence of path was predicted in prior and informed to the robot newlinebefore navigation newline newline