Embodied Artificial Intelligence Lab
Research Field
I am interested in the trio of action, perception, and cognition. More particularly, I have been hoping to build machines that perceives to recognize the real world, understands the (physical) outcomes of their actions, explores novel complex behaviors, and learns/plans to achieve goals. I am fascinated by the animal beings that generalize and explore so successfully (see Moravec's Paradox).
Our lab focuses on robot learning. We approach robot learning from three perspectives: computer vision (perception), reinforcement learning (action) and semantic reasoning (cognition).
Robot learning, reinforcement learning, computer vision
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Postdoctoral researcher Machine Learning Department, Carnegie Mellon University, Pittsburgh
Ph.D. Vision Science, University of California, Berkeley
B.S. Chemical Engineering, National Taiwan University
Job Description
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Preferred Intern Education Level
Students with a bachelor degree in computer science
Skill sets or Qualities
experience in computer vision, machine learning and reinforcement learning