机器人
更安全的
传感器融合
机器人学
超声波传感器
计算机科学
人工智能
任务(项目管理)
钥匙(锁)
控制工程
实时计算
机器人控制
计算机视觉
接近传感器
控制系统
控制(管理)
触觉传感器
工程类
对象(语法)
雷达
系统工程
移动机器人
远程控制
嵌入式系统
视觉对象识别的认知神经科学
模拟
人机交互
作者
Lijie Zhou,Yuan Li,Zhan Duan,Zhentao Zhou,Tiezhu Liu,Jia Zhang
摘要
ABSTRACT The operational safety of robots in complex environments is a critical consideration in contemporary robotics applications, since it directly impacts both task completion and the robot's own integrity. Currently, safety control in robots is predominantly achieved through multimodal sensor fusion technologies involving vision, LiDAR, and radar systems. However, these approaches still present limitations such as high hardware costs, large data volumes, complex data processing requirements, and slow response times. Herein, we present a dual‐modal ultrasonic sensing system that simultaneously measures object proximity and identifies material properties, thereby enhancing robotic perception. The system addresses key challenges mentioned above and achieves a 98\% classification accuracy for 13 common industrial materials and maintains a proximity sensing error within 3 mm. Meanwhile, the system also maintains a good real‐time performance with milliseconds of response. These outcomes contribute to safer robot control and improve environmental suitability.
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