Yifan Yin

I am a second-year Ph.D. student in Computer Science at Johns Hopkins University, advised by Professor Tianmin Shu.

Before my Ph.D., I completed my M.S.E. degree with a major in Robotics in the Laboratory for Computational Sensing and Robotics at Hopkins, under the supervision of Professor Russell Taylor and Professor Emad Boctor.

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Research

My research is at the intersection of embodied AI, robotics, and human-robot interaction. My recent work focuses on (1) comprehensive 3D scene understanding; (2) world models for anticipation and evaluation of embodied state changes; (3) robot learning with multimodal reasoning and action policy learning; (4) integrated task and motion planning for embodied assistance and human-robot collaboration.

We introduce PartInstruct, the first large-scale benchmark for training and evaluating fine-grained robot manipulation policies using part-level instructions.

We present a robust markerless image based visual servoing method that enables precision robot control without hand-eye and camera calibrations in 1, 3, and 5 degrees of freedom.

Adapted from https://jonbarron.info/.