qualities like “the redness of red” that humans have in their mind. If at some point machines can understand this concept and objectively measure such things, then the ultimate goal can be marked as accomplished.
Robots still struggle at performing a wide spectrum of tasks effortlessly and smoothly, and this is mainly due to actuator technology as currently most electrical motors are used. Advances in artificial muscles and skin sensors that could cover the entire embodiment of the agent would be essential to fully mitigate the human experience in the real world and eventually unlock the desired cognition [87].
3.5.2 Evolution
One more key component for cognition is the ability to grow and evolve over time 88, 90. It is easy to evolve the agent's controller via an evolutionary algorithm, but it is not enough. If we aim to have completely different agents, we might as well give them the ability to evolve in terms of embodiment and the sensors as well. This again requires the abovementioned artificial cell organism to encode different physical attributes in them and flip them slightly over time. Of course, we are far from this to become reality, but it is always good to know the furthermost step that has to be done one day.
3.6 Conclusion
Embodied AI is the field of study that takes us one step closer to the true intelligence. It is a shift from Internet AI toward embodiment intelligence that tries to exploit the multisensory abilities of agents such as vision, hearing, and touch, together with language understanding and reinforcement learning attempts to interact in the real world in a more sensible way. In this chapter, we tried to do a concise review of this field and its current advancements, subfields, and tools expecting that this would help accelerate future researches in this area.
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