Lessons learned from robotics grasping and manipulation competition

Two weeks ago, I, along with eight researchers in the IEEE RAS TC on Robotic Hands, Grasping, and Manipulation, organized the first Robotics Grasping and Manipulation Competition in Daejeon, South Korea during IROS 2016. The competition had three tracks: hand-in-hand, fully autonomous (only in grasping stage), and simulation. There are ...

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Restricted Boltzmann Machine (RBM)

[latexpage] 1. Background Learning restricted Boltzmann machine (RBM) is not easy for people who don't have much knowledge in statistics. Even for people who have learned basic machine learning/data mining, it is not very straight forward. The students in my Neural Network and Deep Learning class struggled quite a bit in understanding the ...

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