Ryo Saegusa graduated in the department of applied physics at Waseda University in 1999, studying the artificial neural networks. From 1999 to 2001, he studied in the master course of pure and applied physics at Waseda University. From 2001 to 2005, he accomplished his PhD study of nonlinear principal component analysis using neural network in the doctoral course of pure and applied physics at Waseda University. From 1999 to 2004, he worked as a lecturer at the Honjo senior school at Waseda University, having lectured mathematics, physics and information science. From 2004 to 2007, he worked as a research associate in the school of science and engineering at Waseda University, having lectured the optical and electronic circuits. In 1996, he was selected as an Okuma prize fellowship by Waseda University. From 2003 to 2004, his research project was adopted as a grant-in-aid for special challenges by Waseda University, and from 2004 to 2005 his research project was adopted as a grant-in-aid for young scientists by the Japanese ministry of education, culture, sports, science and technology. Currently, he works as a post-doc researcher at the Italian Institute of Technology (IIT) to develop an artificial intelligence of humanoid robots based on the machine learning theory. Ryo Saegusa has a strong background in the machine learning theory for pattern recognition and the experiences of supervision and collaborates in the elemental fields of robotics, including visual processing, audio and signal processing, mechanical controlling and chemical robotics.