A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
I am trying to install this under Ubuntu 18.04. In the Readme's I can't find any OS requirement so I just went ahead and did it. Catkin_make works as expected but when I try to run roslaunch ur3_moveit pose_est.launch I get python 2.7 related errors. Probably because ASFAIK, Melodic is Python 2 based and Noetic Python 3 based. I think there are ways of enabling Python 3 in Melodic. I will try that and post the update here.
Hello there,
I am trying to install this under Ubuntu 18.04. In the Readme's I can't find any OS requirement so I just went ahead and did it. Catkin_make works as expected but when I try to run
roslaunch ur3_moveit pose_est.launch
I get python 2.7 related errors. Probably because ASFAIK, Melodic is Python 2 based and Noetic Python 3 based. I think there are ways of enabling Python 3 in Melodic. I will try that and post the update here.Environment