Hong (Herbert) Cai

Ph.D. Candidate [CV]
Dept. of Electrical and Computer Engineering
University of California, Santa Barbara

M.S., University of California, Santa Barbara, 2015
B.Eng., Hong Kong University of Science and Technology, 2013

Lab: Harold Frank Hall 4148
Email: hcai [at] ece.ucsb.edu

I am currently a 6th-year Ph.D. student under the supervision of Prof. Yasamin Mostofi. My main research interest is in the optimization of robot decision-making (e.g., path planning, communication), with a focus on human-robot collaborations. I study how to predict human performance based on collected large-scale human data via deep learning. Such human predictions are then incorporated into the robot's decision-making to improve the overall collaboration performance. I also take into account other factors to jointly optimize the robotic operation, such as communication, path planning, and team coordination. Apart from robotics, I am interested in predicting image quality using deep learning, as well as novel wireless sensing applications. In my research, I utilize tools from deep learning and machine learning, computer vision, integer optimization, wireless channel modeling, optimal control, and statistical/probabilistic modeling, and try to develop new methodologies.


Research Interests:


Paper Repository on Human-Robot Collaboration

We have compiled a paper repository to provide a comprehensive overview of the state-of-the-art of different aspects of human-robot collaboration. Please check out the repository for more details.


Released Data and Code for Predicting Human Visual Performance:

We have made publicly available our data and code for predicting human visual performance using machine learning, which is developed in our RSS16 paper. For more details, please check out the data and code site.


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Links:

Prof. Yasamin Mostofi's Homepage

Electrical & Computer Engineering at UCSB