AI and robotics are ushering in a new era – humanoid AI.
Humanoid AI is emerging as the next major advancement in humanlike and humanlevel AI, paving the way for both artificial general intelligence and artificial narrow intelligence.
Longbing Cao. AI Robots and Humanoid AI: Review, Perspectives and Directions, 1-37, 19 March, 2024.
AI-powered humanoids synergize the advancements in large language models (LLMs), large multimodal models (LMMs), generative AI, and human-level AI with humanoid robotics, omniverse, and decentralized AI, transitioning from human-looking to humane humanoids and fostering human-like robotics, a new area of AI: humanoid AI.
Humanoid AI has emerged into a human-AI-robotics-web-integrative ecosystem, revolutionizing the landscape of the intelligent digital economy, societies, and cultures. While only a limited number of humanoids are currently empowered by LLMs or driven by generative AI, humanoid AI is emerging and driving fast-paced development of real-time, interactive, and humane humanoids, with revolutionary advancements and possibilities:
- Synergizing generative to humanlevel AI into humanoids
- Evolving paradigm shift from humanlooking to humane and humanlike humanoids
- Interacting between AI and robotics and between human systems and intelligence systems
- Enabling humane and humanlevel humanoids
Our humanoid AI Ameca – real-time, interactive and multimodal humanoid robot driven by generative AI, LLMs and LMMs
Many techniques are required to enable humane and humanlevel robots, such as mechanical, material, biomedical, electrical and anthropomorphic designs. Intelligent techniques to enable humane and humanlevel robots include: (1) humanizing robots toward humane and humanlevel features, structures, functions and moral traits; (2) digitizing human features in robotics; and (3) intelligentizing robots with human intelligence in complex decentralized, distributed, or even virtualized applications and environments. Essential studies include:
- building mind-to-action mindful and actionable humanoids
- learning general humanoid intelligence
- supporting omnimodal perception-to-behavior humanoid learning
- advancing humanlike humanoids with humanlevel AI
- hybridizing humanoids with humanoid animation, imitation, digital twins, metaverse and mixed reality
- enabling humanoids with decentralized AI for decentralized humanoids: on-humanoid, edge and cloud humanoid systems
- developing humanoid AI hardware, software and applications
Fig. 3. Decentralized humanoids: On-humanoid, edge and cloud humanoid AI framework, synergizing humans, humanoids, edge and cloud devices, algorithms and services including LLMs.
