机器人学
人工智能
机器人
感知
领域(数学)
计算机科学
人机交互
具身认知
工程类
心理学
数学
神经科学
纯数学
作者
Lei Li,Li Li,Mantian Li,Ke Liang
出处
期刊:Machines
[MDPI AG]
日期:2025-07-17
卷期号:13 (7): 615-615
标识
DOI:10.3390/machines13070615
摘要
Robots are increasingly being used across industries, healthcare, and service sectors to perform a wide range of tasks. However, as these tasks become more complex and environments more unpredictable, the need for adaptable robots continues to grow—bringing with it greater technological challenges. Artificial intelligence (AI), driven by large datasets and advanced algorithms, plays a pivotal role in addressing these challenges and advancing robotics. AI enhances robot design by making it more intelligent and flexible, significantly improving robot perception to better understand and respond to surrounding environments and empowering more intelligent control and decision-making. In summary, AI contributes to robotics through design optimization, environmental perception, and intelligent decision-making. This article explores the driving role of AI in robotics and presents detailed examples of its integration with fields such as embodied intelligence, humanoid robots, big data, and large AI models, while also discussing future prospects and challenges in this rapidly evolving field.
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