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A vision-based planning method for robot arm of Chang'E-3 lunar rover

机译:基于视觉的Chang娥三号月球车机器人手臂规划方法

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The planning method for robot arm probing is one of the key technologies in Chang'E-3 mission, which forms the basis of lunar scientific exploration. This paper presents a vision-based robotic planning method which is applied in the Chang'E-3 mission with two steps. First, the position information of the probing point in the working environment is obtained by matching the stereo images of the hazard cameras. Then, the moving path of the robot arm is calculated from the constraints of the surrounding terrain and target, which generates a safe and collision-avoiding motion path from an initial state to the target position. To validate the feasibility and accuracy of the method, a numerical simulation is presented, and an experiment is conducted. The experimental results show that the positioning error is superior to 2mm and the angular deviation of the normal vector is less than 0.5°. On January 14, 2014, Chang'E-3 lunar rover performed the probing test, successfully positioning the target and spreading the robot arm to the target position precisely.
机译:机器人手臂探测计划方法是Chang娥三号飞行任务的关键技术之一,构成了月球科学探索的基础。本文提出了一种基于视觉的机器人计划方法,该方法分两步应用于the娥三号任务。首先,通过匹配危险摄像机的立体图像获得探测点在工作环境中的位置信息。然后,根据周围地形和目标的约束条件来计算机械臂的运动路径,从而生成从初始状态到目标位置的安全且避免碰撞的运动路径。为了验证该方法的可行性和准确性,进行了数值模拟,并进行了实验。实验结果表明,定位误差优于2mm,法向矢量的角度偏差小于0.5°。 2014年1月14日,Chang娥三号月球车进行了探测测试,成功定位了目标并将机器人手臂精确地展开到目标位置。

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