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In the field of artificial intelligence (AI), SLAM, Planning and Perception are three key concepts that play important roles in fields such as robots and autonomous vehicles. Here are the differences and connections between them:
SLAM
SLAM (Simultaneous Localization and Mapping) is a technology designed to simultaneously perform localization (Localization) and map construction (Mapping) in unknown environments. It involves a robot or system determining its position through sensing data (such as lidar, cameras, etc.) during movement and building an environment map at the same time. SLAM emphasizes autonomous positioning and mapping capabilities in unknown environments.
Connection: The perception and positioning parts of SLAM are related to Perception, while the path planning and motion decision-making parts of SLAM are related to Planning.
Planning
Planning is about the process of developing a plan of action in a given environment to achieve a specific goal. It involves planning movement or decision paths within a known environment so that a robot or system can achieve a specific goal or task. Planning focuses on calculating the best sequence of actions to achieve a specific goal.
Connection: In robotics applications, Planning is often used in conjunction with SLAM and Perception to achieve autonomous navigation and task completion in known or unknown environments.
Perception
Perception is about the process of extracting information about the environment from sensor data. It includes sensing, identifying, classifying and locating environmental features such as objects and obstacles. The goal of Perception is to obtain structure and properties about the environment from perception data.
Contact: Perception is used in SLAM to collect information about the environment for map construction and localization. In planning, Perception can provide necessary environmental information for path planning.
In summary, there is a close connection between SLAM, Planning and Perception. SLAM combines the concepts of localization, map building, perception and path planning to enable robots to navigate in unknown environments. Planning is used to develop a plan of action within a known environment. Perception is responsible for extracting environmental information from sensory data to provide support for positioning, map construction and path planning. These three collaborate with each other in the field of autonomous robotics to achieve autonomous navigation and task completion.