触觉技术
遥操作
机器人
模拟
机器人末端执行器
计算机科学
任务(项目管理)
工业机器人
控制系统
接口(物质)
人机交互
对象(语法)
控制工程
工程类
人工智能
气泡
并行计算
系统工程
最大气泡压力法
电气工程
作者
Ivo Dekker,Karel Kellens,Eric Demeester
出处
期刊:Robotics
[Multidisciplinary Digital Publishing Institute]
日期:2023-04-01
卷期号:12 (2): 54-54
被引量:13
标识
DOI:10.3390/robotics12020054
摘要
Industrial robots are capable of performing automated tasks repeatedly, reliably and accurately. However, in some scenarios, human-in-the-loop control is required. In this case, having an intuitive system for moving the robot within the working environment is crucial. Additionally, the operator should be aided by sensory feedback to obtain a user-friendly robot control system. Haptic feedback is one way of achieving such a system. This paper designs and assesses an intuitive teleoperation system for controlling an industrial 6-DoF robotic manipulator using a Geomagic Touch haptic interface. The system utilises both virtual environment-induced and physical sensor-induced haptic feedback to provide the user with both a higher amount of environmental awareness and additional safety while manoeuvering the robot within its working area. Different tests show that the system is capable of fully stopping the manipulator without colliding with the environment, and preventing it from entering singularity states with Cartesian end effector velocities of up to 0.25 m/s. Additionally, an operator is capable of executing low-tolerance end effector positioning tasks (∼0.5 mm) with high-frequency control of the robot (∼100 Hz). Fourteen inexperienced volunteers were asked to perform a typical object removal and writing task to gauge the intuitiveness of the system. It was found that when repeating the same test for a second time, the participants performed 22.2% faster on average. The results for the second attempt also became significantly more consistent between participants, as the inter quartile range dropped by 82.7% (from 52 s on the first attempt to 9 s on the second).
科研通智能强力驱动
Strongly Powered by AbleSci AI