Skill development in Physical AI paves a path to lifelike intelligent robots

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The analysis advice that combined the study of materials science, mechanical engineering, computer science, biology, and chemistry help students to develop the skill they want to create Artificial Intelligence robots.

Robots known as physical AI can be designed in a way that it behaves like a human or animal that hold intellectual capabilities associated with a biological organism. These Robots help humans in the future for performing tasks that are dangerous to humans, assist them human in building, medicine, security, caregiving. Even if, machines and living beings exist separately, the intelligence capabilities both are not yet combined. There have is no autonomous robots that have been introduced that interact with humans beings and the surrounding environment in similar to computer and Smartphone-based AI. The researcher commented that this gap may be due to no systematic education that teaches students and researchers to create robot bodies and brains combined as whole units.

The term Physical AI was published in the journal Nature Machine Intelligence. It also gives suggestions on how to overcome the gap in between and to create lifelike robots with capabilities of intellectual organisms, like bodily control, autonomy, and sensing at the same time. Identified five disciplines that are needed to create Physical AI they are materials science, mechanical engineering, computer science, biology, and chemistry. For achieving nature-like functionality in robots researchers commented that it requires a combination of conventional robotics and Artificial Intelligence with other disciplines to create Physical AI.

Imperial-Empa combined Materials and Technology Centre of Robotics that tie-up Empa’s material science expertise with Imperial’s Aerial Robotics Laboratory. The authors pick up research activities in Physical AI by supporting teachers of institutional level and community level. The advice in hiring and supporting faculty members whose priority will be multidisciplinary Physical AI research.

The researcher expects that their work motivates active discussion in the topic and that will lead to the blending of Physical Artificial Intelligence disciplines in the educational mainstream. The researcher intends to pave a path to a human-robot ecosystem through implementing Physical AI methodology in their research and education activities.

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