• N. Rama Devi
• Dr. K. Shyamala

Robotics is a broad field with many facets and active area of research. With the rise of artificial intelligence, an increasing amount of research and development is being dedicated toward making robots more intelligent and helpful. In today's fast-paced environment, almost all robotic applications need efficient, speedy, and secure communication among robot agents. Mobile robots can help people in a number of circumstances and have a broad range of uses. The document proposes research on cooperative behavior of robots in path planning in an environment. Here, two improvised path-finding algorithms, A* and RRT, in a robotic environment are employed for path finding. Furthermore, robotic cooperation is characterized by a cluster-forming technique. The approaches are compared on various performance metrics, such as the length of the path, smoothness and processing time. In order to make robotic communication safe and secure, Rijndael encryption is utilized. The purpose of this study is to provide a proposal for more research into the cooperative behavior of robots when it comes to route planning in an environment. The utility of two path-finding algorithms in a robotic environment, A* and Rapidly-Exploring Random Tree (RRT) is demonstrated through Matlab Robotic Simulator. Experimental results have been performed to find the shortest paths in a number of scenarios. A comparative analysis is also presented.

Robotic simulation, path-finding algorithms, obstacle detection, A* algorithm, RRT algorithm, heuristic exploration.

"Improved RRT and A* Path Exploration Algorithms for Mobile Robots ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.f214-f221, January-2022, Available :http://www.jetir.org/papers/JETIR2201535.pdf

"Improved RRT and A* Path Exploration Algorithms for Mobile Robots ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppf214-f221, January-2022, Available at : http://www.jetir.org/papers/JETIR2201535.pdf