Physical artificial intelligence can prove to be one of the most important challenges of the artificial intelligence. The governance of physical artificial intelligence would define its responsible intelligent application in the society.

Artificial Intelligence has been a growth catalyst to our society and is cosidered across all idustries as a fundamental technology. However, its development has been limited to the signal processing domain that relies on the generated and collected data from other sensors. In recent research, concepts of Digital Artificial Intelligence and Physicial Artifical Intelligence have emerged and this can be considered a big step in the theoretical development of Artifical Intelligence. In this paper we explore the concept of Physicial Artifical Intelligence and propose two subdomains: Integrated Physicial Artifical Intelligence and Distributed Physicial Artifical Intelligence. The paper will also examine the trend and governance of Physicial Artifical Intelligence.

Researchers from Imperial College London and the Swiss Federal Laboratories for Materials Science ... [ ] and Technology have proposed the combined discipline of "Physical AI" as a means for developing lifelike autonomous robots. Researchers at Imperial College London have proposed "physical artificial intelligence" as a new multidisciplinary area of research that could be vital to producing lifelike intelligent robots in the future. Writing in the Nature Machine Intelligence journal, the team argue that teaching materials science, mechanical engineering, computer science, biology and chemistry as a combined discipline would help students and researchers develop lifelike artificially intelligent robots. This combined discipline of "physical AI" could effectively be the missing link in the attempt to create artificially intelligent robots that look and behave like humans, the Imperial College London team suggests. They argue that research into how to build lifelike robot bodies has failed to keep up with advances in computational artificial intelligence, and that the study and practice of physical artificial intelligence could rectify this imbalance.