Luo Jing, Zhou Xiangyu, Zeng Chao, Jiang Yiming, Qi Wen, Xiang Kui, Pang Muye, Tang Biwei
School of Automation, Wuhan University of Technology, Wuhan 430070, China.
Chongqing Research Institute, Wuhan University of Technology, Chongqing 401135, China.
Micromachines (Basel). 2024 Apr 15;15(4):531. doi: 10.3390/mi15040531.
The integration of advanced sensor technologies has significantly propelled the dynamic development of robotics, thus inaugurating a new era in automation and artificial intelligence. Given the rapid advancements in robotics technology, its core area-robot control technology-has attracted increasing attention. Notably, sensors and sensor fusion technologies, which are considered essential for enhancing robot control technologies, have been widely and successfully applied in the field of robotics. Therefore, the integration of sensors and sensor fusion techniques with robot control technologies, which enables adaptation to various tasks in new situations, is emerging as a promising approach. This review seeks to delineate how sensors and sensor fusion technologies are combined with robot control technologies. It presents nine types of sensors used in robot control, discusses representative control methods, and summarizes their applications across various domains. Finally, this survey discusses existing challenges and potential future directions.
先进传感器技术的集成显著推动了机器人技术的动态发展，从而开创了自动化和人工智能的新纪元。鉴于机器人技术的快速进步，其核心领域——机器人控制技术——已引起越来越多的关注。值得注意的是，传感器和传感器融合技术被认为是增强机器人控制技术的关键，已在机器人技术领域得到广泛且成功的应用。因此，将传感器和传感器融合技术与机器人控制技术相结合，使机器人能够适应新情况下的各种任务，正成为一种有前景的方法。本综述旨在阐述传感器和传感器融合技术如何与机器人控制技术相结合。它介绍了用于机器人控制的九种传感器类型，讨论了代表性的控制方法，并总结了它们在各个领域的应用。最后，本综述探讨了现有挑战和未来潜在的发展方向。
