Path Planning in Outdoor and Unknown Environment using BAPSO Algorithm
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
The path planning through BAPSO algorithm in outdoor and unknown environments is a novel approach for robotic path planning. The BAPSO is a hybrid (BAT and PSO) algorithm. The main challenges of robotics are its automation and detection capability and the preliminary step of achieving these is through optimized path establishment, formation, flocking, and rendezvous, synchronizing and covering. Robotic Path Planning is one of the main problems that deal with computation of a collision-free path for the given robot, along with the given map on which it operates. Path establishment is possible only when the environment is unknown and the targets location is estimated. This work focuses on Path planning problem of coordinated multi-agents, target tracking and reaching in the outdoor and unknown environment through obstacles avoidance. We are also showing the comparative results for this algorithm with other state of the art techniques. Parameters that asses these algorithms are no of node visit (move) and time elapsed (time).
Authors and Affiliations
Mukesh Kumar Nandanwar, Dr. Rekh Ram Janghel, Dr. A. S. Zadagaonkar
Keywords
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