Mobile robotics has completely revised automation, healthcare, and exploration. This paper thesis discusses about obstacle avoidance, path planning, and simulation environments. Advanced sensors, such as LiDAR and stereo cameras, allow mapping and decision-making in real time. Techniques such as the point cloud data and filtering it to maintain the data within LiDAR and stereo camera range, ensure safe navigation in dynamic settings. Simulations using MATLAB and Autodesk Inventor allow for design optimization and testing, minimizing risk and costs. Features like sensor fusion, occupancy grid mapping, and adaptive path adjustment enhance navigation. This research advances mobile robotics, highlighting simulation's role in bridging theory and practice for autonomous systems.