• Preeti Sharma
• Harsh Pandey

Navigation and obstacle avoidance both are most crucial elements for a mobile robot, and this article focuses on the same. This article concentrates on the analysis of various intelligent navigation approaches. These approaches are skilled enough to navigate mobile robot autonomously in static environments. This article describes the optimization of a collision-free path in various static environments. For this, we are introducing the novel approach for the mobile robot to guide along its predefined target. This approach is Teacher Learner based Optimization (TLBO) algorithm. TLBO algorithm is based on the teaching and learning mode of teacher and learner respectively. It optimizes the path selection of mobile robot by taking Euclidean distance and steering angle as the key factor. Numerical computer simulations are the key of this paper to show the effectuality of the recommended standard path-planning control project.

Autonomous ground wheeled robot, Navigation, Static obstacle, Teacher Learner based Optimization algorithm, Numerical computer simulation

"AUTONOMOUS GROUND WHEELED ROBOT MOTION PLANNING IN STATIC ENVIRONMENT USING TLBO ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.139-142, June-2019, Available :http://www.jetir.org/papers/JETIR1906944.pdf

"AUTONOMOUS GROUND WHEELED ROBOT MOTION PLANNING IN STATIC ENVIRONMENT USING TLBO ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp139-142, June-2019, Available at : http://www.jetir.org/papers/JETIR1906944.pdf