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提高人机协作的相互理解:结合具有触觉反馈功能的设备的人体感知运动规划,以传达规划的轨迹。

Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory.

机构信息

Department of Robotics, Faculty of Mechanical Engineering, VSB-TU Ostrava, 70800 Ostrava, Czech Republic.

出版信息

Sensors (Basel). 2021 May 25;21(11):3673. doi: 10.3390/s21113673.

Abstract

In a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot's movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot's movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot's intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot's trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users' awareness about the motion plan of the robot.

摘要

在协作场景中,人类和机器人之间的通信是实现任务执行高效率和人体工程学的基本方面。已经进行了大量研究,旨在使机器人系统能够理解和预测人类行为,从而使机器人能够调整其运动以避免与人类工人发生碰撞。假设生产任务具有高度的可变性,机器人的运动就很难预测,这会导致工人在机器人改变轨迹并靠近时感到焦虑,因为工人没有关于机器人计划运动的信息。此外,如果没有关于机器人运动的信息,工人就无法有效地规划自己的活动,而不会迫使机器人不断重新规划其运动。我们提出了一种向人类工人传达机器人意图的新方法。通过引入触觉反馈设备来改善协作,触觉反馈设备的任务是通知工人当前计划的机器人轨迹和其状态变化。为了验证在共享协作工作空间条件下开发的人机界面的有效性,进行了一项用户研究,共有 16 名参与者参加,其目的是在机器人运动过程中准确识别机器人的目标位置。实验中收集的数据包括客观和主观参数。实验的统计显著结果表明,所有参与者都可以将其任务完成时间提高 45%以上,并且当使用配备触觉反馈设备完成任务时,总体上更主观地满意。结果还表明,开发的通知系统很有用,因为它提高了用户对机器人运动计划的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adaa/8198032/3ceeb1f01c80/sensors-21-03673-g001.jpg

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