利用数据手套实现直观的机器人控制,适用于工业应用案例

Achim Schade, Vu Nguyen, Cansu Gencoglu, Giang T. Nguyen, F. Fitzek
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引用次数: 0

摘要

人与机器人的交互在制造、医疗保健和娱乐等各个行业和领域都至关重要。人与机器人之间自然而直观的交互至关重要。传统的控制器是为二维视觉显示而设计的,因此在三维空间的交互中并不理想。基于摄像头的系统的手势识别通常会受到视觉障碍的阻碍。我们展示了一个利用带有惯性测量单元(IMU)的数据手套的手势系统。本次演示的重点是手势识别质量、增强鲁棒性和响应性。观众可以观察并直接参与使用数据手套实时远程操控机器狗。
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Intuitive Robot Control with Data Gloves for Industrial Use Cases
Human-robot interaction is crucial in various industries and domains, such as manufacturing, healthcare, and entertainment. Natural and intuitive interactions between humans and robots are crucial. Legacy controllers were designed for two-dimensional visual display and, therefore, suboptimal for interaction in three-dimensional space. Hand gesture recognition with camera-based systems is often hindered by visual obstruction. We demonstrate a hand gesture system leveraging data gloves with inertial measurement units (IMU). This demonstration focuses on gesture recognition quality, enhancing robustness and responsiveness. Audiences can observe and directly participate using the data glove to maneuver a robotic dog remotely in real-time.
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