I love full-stack engineering. During my undergrad, I built things from flip-flops
to a RISC-V CPU, from hand-written backprop in C++ to TensorRT, from STM32 to NVIDIA Jetson, and spent a happy year forming
the Illini RoboMaster club in 2018.
My research interests lie in the intersection of robotics and computer vision. My research aims at
enhancing the mobile manipulation capabilities of robots via CV methods.
We design a disinfection system that can priortize cleaning of high-touch surfaces like human cleaners
by co-designing perception and planning algorithms.
We designed and built robots from bolts and metal to perception algorithm. I mainly helped
with writing STM32 application software and perception code.
Codebase for Robotics Motion Planning Ri-Zhao Qiu Personal Project, 2020 Codebase
I implemented a codebase for robotics motion planning, which supports common problems
like 2D narrow passage, bug traps, and robot arm grasping. It implements a variety of
algorithms including RRT, RRT*, bRRT, PRM, FMT. In addition to uniform sampling, it also
supports non-uniform sampler using conditional autoencoder.
Services & Other Activities
Reviewer for CVPR, ECCV, ICLR, CoRL, IROS, and RA-L.