Developing adptive offline robot programming based on 3D sensing

In this project, MPNet—a motion planning network, the technique employed by Qureshi et al. is used. This network receives environment information as point-clouds, as well as the robot’s initial and desired goal configurations and recursively calls itself to bidirectionally generate connectable paths. MPNet is implemented using Tensorflow, an end-to-end open-source machine learning platform with Python.