Yu Xiang


Yu Xiang is a Research Scientist at NVIDIA. He received his Ph.D. in electrical engineering from the University of Michigan at Ann Arbor in 2016 advised by Prof. Silvio Savarese. He was a postdoctoral researcher with Prof. Dieter Fox in Computer Science & Engineering at the University of Washington from 2016 to 2017, and was a visiting student researcher in the artificial intelligence lab at Stanford University from 2013 to 2016. He received M.S. degree in computer science from Fudan University in 2010 advised by Prof. Xiangdong Zhou, and B.S. degree in computer science from Fudan University in 2007. (Personal Website)

Research Interests

My research interests primarily focus on computer vision and perception for robotics. I am interested in studying how can an intelligent system or a robot understand its 3D environment from sensing, which is a very challenging and unsolved problem. Perception serves as an interface between an intelligent system and the 3D world, which provides useful information for planning and control of the system in conducting different tasks. I am interested in integrating perception, planning and control in a systematic way and deploying robots in the real world which are capable of accomplishing tasks for human. I apply machine learning, especially deep learning, to tackle the challenges in robot perception. I explore how to introduce domain knowledge such as geometric constraints into a deep neural network architecture to learn a useful representation of the 3D environment for perception. I am also interested in how to learn a joint representation for perception, planning and control with deep neural networks.

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