Efficient Hybrid Path Planning for Complex Environments
Word Count : 6000
Objectives to cover:
Introduction – Overview of hybrid path planning and its importance in complex environments.
Background Study – Review of traditional path planning algorithms like D* and RRT*.
Problem Definition – Challenges faced in navigation within obstacle-dense environments.
Hybrid Algorithm Design – Integration of D* and RRT* for efficient path planning.
System Architecture – Structural framework of the proposed hybrid planning system.
Obstacle Detection and Mapping – Methods for sensing and representing environmental obstacles.
Path Optimization Strategy – Techniques used to refine and shorten the planned path.
Simulation and Performance Analysis – Evaluation of the proposed method in test environments.
Conclusion – Summary of results and future scope of hybrid path planning improvements.