I think one of the main reasons is that the improvements have been drastically significant and very recent; There hasn't been enough time to convert the researc

I think one of the main reasons is that the improvements have been drastically significant and very recent; There hasn't been enough time to convert the research code into open source code and libraries, but you can confidently expect these models to become pervasive over the next few years not just in robotics, but in all perception systems. A few good open source libraries out there that have the building blocks for putting together similar models: - Caffe (C++) http://caffe.berkeleyvision.org/ http://caffe.berkeleyvision.org/ - cudaconvnet2 (C++) https://code.google.com/p/cuda-convnet2/ https://code.google.com/p/cuda-convnet2/ - DeepBeliefSDK (iOS,Android,OS X, Raspberry Pi, JS) https://github.com/jetpacapp/DeepBeliefSDK https://github.com/jetpacapp/DeepBeliefSDK