The difference between perception and cognition of Yamaha robots

Create Date: 2024-8-30 12:03:23|Source: YAMAHA/YAMAHA

With the rapid development of AI skills, the use of robots is becoming more and more extensive. A robot is a mechanical device that can complete a task from the master through computer algorithms or pre-programmed instructions. In different occupations and use cases, the perception and cognitive talents of robots are very important. So, what is the difference between perception and cognition of robots?

                               The difference between perception and cognition of Yamaha robots

Perception is the ability of robots to obtain information from the outside world, which generally includes various forms such as sight, hearing, touch, taste and smell. The perception system of robots is generally completed by sensors, such as cameras, radars, sonars, force sensors, etc. These sensors are capable of converting external international information into digital signals, which are then processed and dissected by computer algorithms. The perception system of the robot is mainly used to perceive the surrounding environment and obtain information about objects, people, and the environment so that the robot can better perform tasks.

In contrast to perception, cognition is the ability of robots to process and understand perceptual information. Cognition refers to the common sense that the robot learns and understands, and can be used to make decisions, plans, and execute tasks. Cognition generally includes skills such as pattern recognition, speech recognition, natural language processing, and machine learning. These skills can help the robot understand the clutter of language, drawings, and sounds in order to perform tasks better.

Perception and cognition of robots are closely related. Perceptual information is the foundation of cognition, and without perceptual information, the robot cannot make the next decision, plan, and action. The perceptual information is collected, transmitted and processed by the robot, and then input into the cognitive system, analyzed and understood, and finally assists the robot to make the correct resolution plan and perform the task. Thus, perception and cognition are closely interdependent.

With the continuous development of robot skills, the perception and cognitive ability of robots are also constantly advancing. From the abbreviated robot at the beginning to the current intelligent robot, only the perception and cognition need to be upgraded, and the intelligence of the robot can be greatly advanced. It is foreseeable that with the continuous innovation of skills, the perception and cognitive ability of robots will continue to develop and advance, and the scope of use of robots will continue to be broadened.

In short, the perception and cognition of the robot are the key talents of the robot to perform the task. In order to advance the intelligence of robots, it is necessary to continuously improve the perception and cognitive ability of robots. With the continuous innovation and advancement of skills, I believe that the intelligent future of robots will be more colorful.

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