关键词:
人工智能+,
具身智能,
多模态感知
Abstract:
The deep convergence of artificial intelligence (AI) and robots has become a decisive catalyst for the next leap in robots technology, giving rise to new forms of intelligent agents. Among these, embodied intelligent robots stand out due to their core emphasis on physical embodiment and environmental interaction. Focusing on this specific form enabled by “AI+”, this paper offers a comprehensive survey of the conceptual evolution and current development of embodied intelligence robots, highlighting how AI reshapes perception, cognition, decision-making, execution, and data foundations. By examining key technologies, namely, multimodal perception, large language models, and deep reinforcement learning, and demonstrating their deployment in industrial manufacturing, healthcare, and household services, this paper illustrates the concrete achievements of “AI+” empowered embodied intelligence robots. The paper also identifies practical bottlenecks, including high computational demands and limited algorithmic generalization and robustness, and discusses future directions such as more efficient model architectures, cross-modal synergies, and broader domain expansion. These insights aim to provide references for both technological innovation and industrial adoption of embodied intelligence robots.
Key words:
AI+,
embodied intelligence,
multimodal perception