遥操作
触觉技术
透明度(行为)
动觉学习
计算机科学
执行机构
模拟
加速度
软件
机器人
人工智能
计算机安全
心理学
发展心理学
物理
经典力学
程序设计语言
作者
Nural Yilmaz,Brendan Burkhart,Anton Deguet,Peter Kazanzides,Ugur Tümerdem
出处
期刊:IEEE robotics and automation letters
日期:2023-11-22
卷期号:9 (2): 971-978
被引量:4
标识
DOI:10.1109/lra.2023.3335779
摘要
The da Vinci surgical robot introduced remote control of instruments, providing surgeons with increased dexterity and precision. A major drawback, however, is the loss of sense of touch due to a lack of kinesthetic coupling between the surgical field and the surgeon. This paper presents a framework for sensorless transparency optimized four channel teleoperation. It is sensorless because forces are estimated from existing actuator feedback, with a deep network for dynamics identification. Performance is further optimized by introducing robust acceleration control, with disturbance observers. Experiments performed on the da Vinci Research Kit (dVRK), an open research platform based on the clinically deployed robotic hardware, show improvements in control, force estimation and reflection. The significance is that we demonstrate that high-performance bilateral teleoperation is feasible in clinical systems, without hardware changes, and is available to the dVRK community through a software update.
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