The Current version of Dan's Master Program to easily control WMRA-2
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Estimates the position and orientation of an object represented as a 3D point cloud using superquadrics. This is the implementation of the algorithm detailed in the ICRA 2013 submission by K. Duncan et al. entitled "Multi-scale Superquadric Fitting for Efficient Shape and Pose Recovery of Unknown Objects."
Python client for the Echo Nest API
Use the Baxter and the PowerBot to perform ADLs
estimates pose of objects using RGBD data