Nature inspired evolutionary approaches for robot navigation: Survey

Abstract

Autonomous robot navigation (ARN) requires intelligent systems equipped with human capabilities to achieve controlled motion among flats, ridgesor obstacles while avoiding collision in known or partially unknown environment with safety of equipment and manpower involved. Its objective is to generate optimal collision free path from initial to target location within minimal time and energy requirement. There are various navigational approaches (classical, heuristics, hybrid or nature inspired) and its choice depends on type of environment (static or dynamic) and application area. Nature inspired evolutionary (NIE) approaches is an emerging paradigm to develop robust and dynamic problems to address non-linear or multi-objective problemsin dynamic environment. This work is an attempt to review recently developed NIE approaches based on different biological groups for application in field of robot path planning (RPP).

Subject Classification:

• 68U99

Keywords:

• Autonomous Robot Navigation (ARN), Nature Inspired Evolutionary (NIE) Approaches
• Robot Path Planning (RPP)