Lidar Based

LiDAR-based systems are revolutionizing robotic navigation by providing rich 3D environmental data for autonomous operation in diverse settings, from indoor spaces to agricultural fields. Current research emphasizes improving the efficiency and robustness of LiDAR data processing, focusing on techniques like object-aware costmaps, graph-based point cloud completion, and attention mechanisms for dynamic environment perception. These advancements are enabling safer, more efficient, and more adaptable robots for applications ranging from warehouse automation to precision agriculture and search and rescue operations. The development of efficient algorithms and data structures, such as robocentric occupancy grid maps, is crucial for real-time performance in large-scale environments.