基于视觉传感的医疗服务机器人位姿精度测试系统的研制

      Pose Testing Method for Medical Service Robots Based on Vision System

      • 摘要: 针对用于室内环境的医疗服务类机器人,提出了一种基于多目视觉传感对其工作面进行位姿精度测试的方法。该方法采用多目视觉传感器测量固定在服务机器人工作面上的靶标,通过非线性最小二乘法对测量坐标系与机器人基坐标系进行对齐,并融合多目图像数据来实现工作面位姿精度测试。最后,将该视觉测试方案在型号为ABIR X8的医疗服务机器人上进行试验验证,依据GB/T 38124《服务机器人性能测试方法》给出项目和精度指标。该视觉测试系统和方法满足国家标准规定的各项要求。

         

        Abstract: Aiming at the medical service robot used in the indoor environment, this study proposes a method to test the pose accuracy of its working surface based on the binocular vision system. This method uses a binocular vision coordinate system to measure targets fixed on the working surface of the service robot, aligns the measurement system with the robot base coordinate system through the nonlinear least squares method, and integrates the multi-eye image data to achieve the accuracy test of the working surface. Finally, the vision test program was tested and verified on a mobile service robot model ABIR X8. According to the accuracy index given in GB/T 38124 Service Robot Performance Test Method, the test results of its pose accuracy were obtained.

         

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