"Human-machine integration is an important feature of intelligent robots. The new generation of human-machine integration robots with human-computer interaction, human-machine communication, and human-machine integration will lead the new trend of the times." On November 27, 2020 World in Nanjing, Jiangsu At the Smart Manufacturing Conference, Tan Jianrong, an academician of the Chinese Academy of Engineering, said that inclusiveness will bring about a fundamental change in the future human-machine relationship, that is, from "master and servant" to "partner".In 2011, the United States launched the Advanced Manufacturing Partnership Program, which clearly stated that the next generation of robots will work closely with humans to provide industrial workers, health service providers, soldiers, surgeons, and astronauts with new capabilities to complete complex tasks.
Data show that in 2017, the number of human-robot robots reached 4,211, and it is expected to reach 196,277 in 2020. Based on a calculation of 100,000 yuan per unit, the scale of the human-robot industry will reach 1.96 billion yuan in 2020.
Tan Jianrong said that the intelligent characteristics of intelligent industrial robots are specifically manifested in three aspects: single-machine autonomy, multi-machine collaboration, and human-machine integration. Interconnection and intercommunication, and hybrid enhanced intelligence technology will realize the personification of human-computer interaction."
At present, the application of human-machine inclusive robots in automotive, medical, traditional manufacturing and other fields is not uncommon. Luo Minzhou, director of the Intelligent Manufacturing Technology Research Institute of Jiangsu Industrial Technology Research Institute, introduced that technically, they have completed the omelet robot. , Research on massage robots and coffee robots. Tan Jianrong believes that human-computer interaction will develop in three aspects with the update and upgrade of the Internet of Things and the development of artificial intelligence, namely user-centric, personalized biometrics and all-round perception.
But Luo Minzhou also raised his own concerns: “The application of new scenes of inclusive robots is also facing very big challenges, mainly in four aspects: environment, task, safety and interaction.” For example, military robots can be used in complex environments. Whether the mission is fulfilled, whether the medical robot can be foolproof in the operation, how the robot enters the home to ensure the safety of humans, etc.