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你好,在将该算法部署在机器臂上时,我有一些疑问: 1、预训练模型预测出来的旋转矩阵,是相对于相机坐标系的吗? 2、如果是,是不是相机坐标系的xyz轴朝向要和graspnetAPI中定义的夹爪坐标系xyz轴朝向保持一致时,预测出来的旋转矩阵才能正常转换? 谢谢
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谢谢你的回答。我在这个问题 #28 (comment) 里找到了解决办法。对预测出来的旋转矩阵点乘[0,0,1;1,0,0;0,1,0]后,就能转换到正确的姿态了。下面2个图,是我的夹爪的坐标和api里定义的夹爪坐标。 [0,0,1;1,0,0;0,1,0] 这个矩阵应该就是你说的 实际使用的夹爪坐标系和api里定义的夹爪坐标系的转换矩阵
实际使用的夹爪坐标系和api里定义的夹爪坐标系的转换矩阵
我遇到了和你一摸一样的问题 你这是左乘还是右乘呀 是grasp pose * T还是T* grasp_pose
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你好,在将该算法部署在机器臂上时,我有一些疑问:
1、预训练模型预测出来的旋转矩阵,是相对于相机坐标系的吗?
2、如果是,是不是相机坐标系的xyz轴朝向要和graspnetAPI中定义的夹爪坐标系xyz轴朝向保持一致时,预测出来的旋转矩阵才能正常转换?
谢谢
The text was updated successfully, but these errors were encountered: