TY - JOUR
T1 - Human-like perception for embodied intelligent robots
T2 - A review
AU - Huang, Sihan
AU - Wang, Pengfei
AU - Zhu, Jiahao
AU - Guo, Weihong (Grace)
AU - Gu, Xi
AU - Zhao, Qiang Qiang
AU - Wang, Haoqi
AU - Wang, Guoxin
AU - Yan, Yan
N1 - Publisher Copyright:
© 2026 The Society of Manufacturing Engineers
PY - 2026/6
Y1 - 2026/6
N2 - Recent years, robot technology has made great progress benefiting from the breakthrough of sensor technology, new generation artificial intelligence, Information Communication Technology, etc., which results in more flexible, more dexterous and smarter robots for more complex application scenarios. Perception is the initialization of realizing specific tasks for robots, which should obtain enough information, understand the information, and make right decision. The emerging embodied intelligence provides a new paradigm for robots to deal with more dynamic and complex tasks, that is, embodied intelligent robots, where requires the the robots to be able to perceive more efficiently, more accurately, and smarter. As the behavioral pattern of human can be good guidance when handling different tasks, human-like perception gradually comes into view for embodied intelligent robots. To explore the development process and future trend of robot perception, a review from the perspective of human-like perception for embodied intelligent robots is carried out in this paper. The development trend towards to human-like perception for robot is analyzied, which the definition of human-like perception is provided. The technical path for realizing human-like perception is summarized, including multimodal sense, hierarchical understanding, and active decision and execution. The application potential and key challenges of human-like perception are discussed as well. It is a timely and significant review for the perception investigation of the emerging embodied intelligent robots, which could be an important reference for future works in this domain.
AB - Recent years, robot technology has made great progress benefiting from the breakthrough of sensor technology, new generation artificial intelligence, Information Communication Technology, etc., which results in more flexible, more dexterous and smarter robots for more complex application scenarios. Perception is the initialization of realizing specific tasks for robots, which should obtain enough information, understand the information, and make right decision. The emerging embodied intelligence provides a new paradigm for robots to deal with more dynamic and complex tasks, that is, embodied intelligent robots, where requires the the robots to be able to perceive more efficiently, more accurately, and smarter. As the behavioral pattern of human can be good guidance when handling different tasks, human-like perception gradually comes into view for embodied intelligent robots. To explore the development process and future trend of robot perception, a review from the perspective of human-like perception for embodied intelligent robots is carried out in this paper. The development trend towards to human-like perception for robot is analyzied, which the definition of human-like perception is provided. The technical path for realizing human-like perception is summarized, including multimodal sense, hierarchical understanding, and active decision and execution. The application potential and key challenges of human-like perception are discussed as well. It is a timely and significant review for the perception investigation of the emerging embodied intelligent robots, which could be an important reference for future works in this domain.
KW - Active decision
KW - Embodied intelligence
KW - Embodied intelligent robots
KW - Human-like perception
KW - Multimodal fusion
KW - Robot perception
UR - https://www.scopus.com/pages/publications/105035709985
U2 - 10.1016/j.jmsy.2026.04.029
DO - 10.1016/j.jmsy.2026.04.029
M3 - Review article
AN - SCOPUS:105035709985
SN - 0278-6125
VL - 86
SP - 887
EP - 912
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
ER -