Design and Implementation of Motion Imitation Robot

Prabhakara Rao Kapula, Anudeep Deekonda, S. Dubey, B. Sushannth, B. S. Srikar, B. V. Reddy
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Abstract

As technology develops, robots are increasingly becoming a part of our daily life. Applications include those for rehabilitation, assisted living, education, domestic help, and warfare. All these applications require specific control strategies and controllers. To combat this, recently developed depth sensors resolve the issue relating to input response and latency issues with immediate response time. Our project presents a robotic system that can imitate human motions and work accordingly. while compared to other motion sensors, the Raspberry Pi camera makes the device more comfortable to use while collecting human movements. The gadget extracts the robot's skeletal data, which is then processed to create the robot's joint angles. The proposed design of the robot imitates the human in real-time with very little or no lag. The Raspberry Pi camera that we employ can monitor joint locations in order to create software application gesture detection and mapping into control instructions that the robotic system can display.
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运动仿真机器人的设计与实现
随着科技的发展,机器人正日益成为我们日常生活的一部分。应用范围包括康复、辅助生活、教育、家庭帮助和战争。所有这些应用都需要特定的控制策略和控制器。为了解决这个问题,最近开发的深度传感器解决了与即时响应时间相关的输入响应和延迟问题。我们的项目提出了一个机器人系统,可以模仿人类的动作,并相应地工作。而与其他运动传感器相比,树莓派的摄像头使设备在收集人体运动时使用起来更舒适。这个小工具提取机器人的骨骼数据,然后对这些数据进行处理,以创建机器人的关节角度。所提出的机器人设计可以实时地模仿人类,几乎没有延迟。我们使用的树莓派相机可以监控关节位置,以便创建软件应用程序,手势检测和映射到机器人系统可以显示的控制指令。
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