In fact, the robot is a combination of various technologies, and classified according to the general direction, mainly divided into three parts, namely, perception, cognitive interaction and motion control. From these signs, the prospect of service robots is extremely impressive for the foreseeable future.  Service robot Blue Ocean is in the hope of future development along three aspects According to the 2016 World Service Robot Statistics Report released by IFR, the total sales volume of global professional service robots in 2015 was 41,100 units, which was 25% higher than the 32,900 units in 2014. The total sales volume was US$4.6 billion, up 14% year-on-year. %. In the personal/home service robot field, about 5.4 million units were sold in 2015, a year-on-year increase of 16%, and sales were 2.2 billion, a 4% increase from 2014. In addition to data presentation, the state and related groups have also paid attention to service robots. For example, the China Robotics Industry Alliance recently announced that it will release three alliance standards and 17 robot industry alliance standards. From these signs, the prospect of service robots is extremely impressive for the foreseeable future. To put it bluntly, the robot is a combination of various technologies, and according to the general direction, it is divided into three parts, namely, perception, cognitive interaction and motion control. Perception - the first step of intelligence Generally speaking, the perception of the robot is to identify the surrounding environment by means of various sensors, which is equivalent to the human eye, ear, nose, skin, etc.: Visual perception: Computer vision, analogous to the human visual system. Use the camera head instead of the human eye to identify, track, and measure the target. At present, the computer vision of service robots has been quite perfect, such as face recognition, image recognition, positioning and ranging, and so on. It can be said that when providing services to human beings, "seeing things" robots are much more useful than "blind" robots. Sound perception: Voice recognition is the most common and convenient way for human-computer interaction. Therefore, for service robots, speech recognition is one of the important functions that must be possessed. "Service robots have surpassed humans in speech recognition." Previously, Professor Tsinghua and Sun Fuchun, director of the China Artificial Intelligence Society, said. If you only recognize the text on the surface, see the 97% accuracy rate of the speech recognition of the University of Science and Technology, the service robot has indeed reached the level of human demand. After that, the goal of the service robot is to further deepen the text. Other Perceptions: The two most important perceptions of the service robots have been perfectly reflected, and in other respects, people are still constantly exploring. Taking “skin perception†as an example, in order to make the robot closer to humans and more perceptions, many teams have been working hard to study a “sensitive skin†in an effort to achieve softness and sensitivity. On top of this, there have been many achievements in front of the public, and the perception of breeze and mosquito landing has become a piece of cake. In addition, there are senses of smell, etc. These are the functions that a service robot should have. Cognitive Interaction: The Key to the Realization of Service Robot Value Whether it is human or robot, perception is the most basic one, and cognition is further sublimation. On the basis of cognition, service robots can understand all aspects of human beings in order to interact more naturally with humans: Natural language processing: As mentioned earlier, after the speech is recognized, what the service robot has to do is to go deep into the text, which refers to "natural language processing." At present, natural language processing can be said to be a major flaw in service robots. Although the service robot can also perform some continuous voice interaction with humans, it still cannot reach a satisfactory level. It may also be said that the service robot is better at natural language processing, but it is still a "baby of babbles" in natural language understanding. Deep learning: In front of humans, robots are a piece of white paper. They need to learn all aspects of human beings, like talking, doing housework, etc. In this respect, deep learning algorithms are a key. Using the deep learning algorithm, after training a large amount of data, the service robot can imitate human beings to form their own set of methods of doing things, and then apply them. Taking face recognition as an example, scientists use human photos in the database to train the algorithm to match the photos with the names of the people, and improve the accuracy of recognition in continuous error correction. If the research of artificial intelligence technology is likened to building a house, the deep learning algorithm is the bottom "foundation" and bears all the "risks" of a technology. In addition, in terms of cognitive interaction, in addition to semantic understanding and learning from human beings, service robots need to understand “feelingsâ€, so that they can truly be close to human beings and realize their true value, especially the emphasis on emotional communication. Service robot. Motion Control - Foot Robots Are Future Trends In motion control, service robots mainly involve two aspects, one is positioning navigation, and the other is balance. In positioning navigation, the service robot needs to complete positioning, mapping and path planning. For this, most companies adopt SLAM technology. Taking the sweeping robot as an example, with the help of computer vision and SLAM technology, the mapping and path planning will be carried out inside the system. After that, the sweeping robot will no longer be a headless collision during the operation, but There is a planned sweeping of the ground, and return to charge on its own, without any muddy water. In terms of balance, over 90% of service robots on the market are wheeled or crawler-type, and foot-type robots are quite rare. Compared to the foot, the wheeled and tracked chassis does have greater stability, reliability and durability. From the current market point of view, these two chassis are the most suitable choice, however, in the long run, the foot robot is the future trend. The wheeled and tracked chassis limits the range of motion of the service robot to the ground and a little slope. In the future, the service range of the service robot will be expanded and the walking environment will be diversified, such as stairs. The chassis must also be changed. In the future, the popularity of service robots will increase year by year. At the same time, the performance of service robots will continue to increase in user experience feedback. It should be noted that the above mentioned technologies are all the technologies carried by the robot itself. To achieve this, the service robot only realizes the value of the "robot". On the "service", service robots and vendors need to do other work, such as the unification of interface protocols, robot communication technology and so on. 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