Yanqi Liu
PhD Student @ Brown University
I am a Ph.D student in Computer Science at the Brown University advised by Prof. Iris Bahar. My research interest is in developing robust and energy efficient robotic algorithm through software and hardware co-design. I'm interested in developing new computing architecture for Bayes inference algorithms, which is one of the most fundamental algorithms for various probilistic robotic applications including navigation, localization and perception.
Previously, I earned my undergraduate degree in Computer Engineering from University of Michigan. While in Michigan, I was into autonomous robotics including SLAM and robot manipulation
Using Human-Guided Causal Knowledge for More Generalized Robot Task Planning
S Tatlidil, Y Liu, E Sheetz, R Bahar, S Sloman
AAAI-FSS, AI-HRI, 2021 [PDF]
Hardware acceleration of robot scene perception algorithm
Y Liu, CE Derman, G Calderoni, RI Bahar
ICCAD, 2020 [PDF]
Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation
Y Liu, G Calderoni, RI Bahar
FPL, 2020 [PDF]
Grip: Generative robust inference and perception for semantic robot manipulation in adversarial environments
X Chen, R Chen, Z Sui, Z Ye, Y Liu, RI Bahar, OC Jenkins
ICRA, 2019 [PDF]
Robust object estimation using generative-discriminative inference for secure robotics applications
Y Liu, A Costantini, RI Bahar, Z Sui, Z Ye, S Lu, OC Jenkins
ICCAD, 2018 [PDF]
