一种基于视觉的自动驾驶移动机械手的电梯按钮操作方法

IF 1.9 4区 计算机科学 Q3 ENGINEERING, INDUSTRIAL Industrial Robot-The International Journal of Robotics Research and Application Pub Date : 2022-06-27 DOI:10.1108/ir-03-2022-0063
Toan Van Nguyen, Jin-Hyeon Jeong, Jae-Yun Jo
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引用次数: 2

摘要

目的在现代多层建筑中,由于移动机械手无法爬楼梯,因此电梯操作是帮助这类机器人系统工作的关键能力。这里,电梯按钮操作被认为是满足该需求的有效方法。在此之前,一些研究提出了电梯按钮识别算法,而另一些研究则设计了按钮操作工作的方案。然而,在他们的机器人系统中,移动机器人、机械手和相机是异步的。此外,摄像机的标定是不可避免的,尤其是在多变的环境中。本文旨在提出一种电梯按钮操作的替代方法,以克服上述缺点。设计/方法/方法本文采用基于视觉的自动驾驶移动机械手进行电梯按钮操作,使自动驾驶移动机器人、机械手和摄像机更有效地协同工作。也就是说,移动机器人不需要精确地位于电梯面板的前方,因为机械手具有根据系统运动同步调整摄像机初始帧的能力。此外,该方法不需要电梯按钮的真实世界坐标,而是唯一地使用它们的像素位置。通过这样做,不仅不需要从二维像素坐标到三维(3D)真实世界坐标的投影,而且不需要对相机进行校准。利用基于视觉的自动驾驶移动机械臂对该方法进行了实验验证。该机器人系统由自主移动机器人、机械手和安装在机械手末端执行器上的摄像机组成。由于电梯按钮面板表面通常呈镜面状,因此电梯按钮检测容易受到眩光和环境光条件亮度的影响。实用意义该机器人系统可用于现代多层建筑的货物配送或巡逻。原创性/价值本文包括三个新特征:同时检测和操纵电梯按钮,而不需要从像素坐标到三维现实坐标的投影;运动同步,帮助机器人系统消除累积误差;安全的类人电梯按钮操作。
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An efficient approach for the elevator button manipulation using the visual-based self-driving mobile manipulator
Purpose Because mobile manipulators are unable to climb stairs, the elevator operation is a crucial capacity to help those kinds of robot systems work in modern multifloor buildings. Here, the elevator button manipulation is considered as an efficient approach to fulfill that requirement. Previously, some studies presented elevator button recognition algorithms while some others designed schemes for the button manipulation work. However, the mobile robot, the manipulator and the camera in their robot systems are asynchronous. Besides, the time-consuming calibration for the camera is inevitable, especially in changeable environments. This paper aims to present an alternative method for the elevator button manipulation to overcome mentioned shortcomings. Design/methodology/approach In this paper, the elevator button manipulation is conducted by using the visual-based self-driving mobile manipulator in which the autonomous mobile robot, the manipulator and the camera cooperate more efficiently. Namely, the mobile robot does not need to be located exactly in front of the elevator panel as the manipulator has the ability to adjust the initial frame of the camera based on the system kinematic synchronization. In addition, the proposed method does not require the real world coordinates of elevator buttons, but uniquely using their pixel positions. By doing this, not only is the projection from two-dimensional pixel coordinates to three-dimensional (3D) real world coordinates unnecessary, but also the calibration of the camera is not required. Findings The proposed method is experimentally verified by using a visual-based self-driving mobile manipulator. This robotic system is the integration of an autonomous mobile robot, a manipulator and a camera mounted on the end-effector of the manipulator. Research limitations/implications Because the surface of the elevator button panel is usually mirror-like, the elevator button detection is easily affected by the glare and the brightness of the environmental light condition. Practical implications This robot system can be used for the goods delivery or the patrol in modern multifloor buildings. Originality/value This paper includes three new features: simultaneously detecting and manipulating elevator buttons without the projection from pixel coordinates to 3D real world coordinates, a kinematic synchronization to help the robot system eliminate accumulated errors and a safe human-like elevator button manipulation.
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来源期刊
CiteScore
4.50
自引率
16.70%
发文量
86
审稿时长
5.7 months
期刊介绍: Industrial Robot publishes peer reviewed research articles, technology reviews and specially commissioned case studies. Each issue includes high quality content covering all aspects of robotic technology, and reflecting the most interesting and strategically important research and development activities from around the world. The journal’s policy of not publishing work that has only been tested in simulation means that only the very best and most practical research articles are included. This ensures that the material that is published has real relevance and value for commercial manufacturing and research organizations. Industrial Robot''s coverage includes, but is not restricted to: Automatic assembly Flexible manufacturing Programming optimisation Simulation and offline programming Service robots Autonomous robots Swarm intelligence Humanoid robots Prosthetics and exoskeletons Machine intelligence Military robots Underwater and aerial robots Cooperative robots Flexible grippers and tactile sensing Robot vision Teleoperation Mobile robots Search and rescue robots Robot welding Collision avoidance Robotic machining Surgical robots Call for Papers 2020 AI for Autonomous Unmanned Systems Agricultural Robot Brain-Computer Interfaces for Human-Robot Interaction Cooperative Robots Robots for Environmental Monitoring Rehabilitation Robots Wearable Robotics/Exoskeletons.
期刊最新文献
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