Generation of Robot Path Planning using General Voronoi Diagram (GVD) Methods and Configuration Space (CS) Methods from Source to Goal using Software Tools

Efficient path planning is crucial for the successful navigation of robots in complex environments. This research explores the integration of General Voronoi Diagram (GVD) methods and Configuration Space (CS) methods to generate optimal paths for robots moving from a source to a goal. The study leverages advanced software tools for implementation and analysis. The General Voronoi Diagram provides a robust framework for partitioning space based on proximity relationships, enabling the creation of Voronoi cells that define regions of influence around obstacles. Meanwhile, Configuration Space captures the entire spectrum of feasible robot configurations, considering both its kinematic constraints and the presence of obstacles. The research proposes a hybrid approach, utilizing the strengths of both GVD and CS methods to enhance path planning accuracy and efficiency. The Voronoi diagram contributes to the generation of initial paths by defining regions of interest, while the Configuration Space methods refine these paths, accounting for the robot's kinematics and obstacle avoidance constraints. Software tools, including [mention specific software tools], are employed to implement and visualize the proposed path planning techniques. Simulation results demonstrate the effectiveness of the hybrid approach in generating collision-free and optimal paths for robots navigating complex environments. Comparative analyses with traditional methods showcase the advantages of integrating GVD and CS techniques. The study contributes to the field of robotics by presenting a comprehensive approach to robot path planning that leverages the complementary strengths of General Voronoi Diagram methods and Configuration Space methods. The findings have practical implications for various applications, including autonomous vehicles, industrial robotics, and unmanned aerial vehicles, where efficient and safe navigation is of paramount importance.