Localization and 3D Mapping of Intelligent Robotics

Dear Colleagues,

Localization and 3D mapping play pivotal roles in the autonomy of intelligent mobile robots, enabling them to navigate complex environments with precision. At the core of this technology lies the fusion of artificial intelligence and advanced sensor systems.

Localization involves determining a robot's position relative to its surroundings, typically achieved through techniques like Simultaneous Localization and Mapping (SLAM). By integrating data from onboard sensors such as LiDAR, cameras, and inertial measurement units, robots construct detailed maps of their environment while simultaneously estimating their own position within it.

Navigation heavily relies on accurate localization data, allowing robots to plan optimal paths and avoid obstacles in real-time. This capability is essential for applications ranging from warehouse logistics to search and rescue missions.

Moreover, the fusion of perception and detection technologies enables robots to interpret their surroundings comprehensively, identifying objects, obstacles, and hazards. This environment recognition capability enhances safety and efficiency across various tasks.

These advancements in localization and mapping have far-reaching applications, including industrial automation, agricultural robotics, and exploration in hazardous environments. As technology continues to evolve, intelligent robots equipped with sophisticated localization and mapping capabilities will further revolutionize numerous fields, making operations safer, more efficient, and increasingly autonomous.

Prof. Dr. Mónica Ballesta
Prof. Dr. Oscar Reinoso García
Guest Editors

Dr. María Flores Tenza
Guest Editor Assistant

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• mobile robots
• localization
• computer vision
• navigation
• mapping
• artificial intelligence
• neuronal networks
• LiDAR
• point cloud
• perception and detection