Ri-Zhao (Roger) Qiu

I am an incoming PhD student at UCSD. Before this, I received an MS in computer science and BS in computer science and mathematics at UIUC, where I was co-advised by Prof. Kris Hauser and Prof. Yuxiong Wang.

During my undergrad, I spent a happy year forming the Illini RoboMaster club in 2018. I worked as an intern at Megvii Research Nanjing in 2019, where I was led by Prof. Xiu-Shen Wei. In 2020, I was a participant in the Illinois CS summer REU program with Prof. Kris Hauser.

CV (updated 2023.1)  /  LinkedIn  /  Github

My research interests lie in the intersection of robotics and computer vision, where I develop robotics perception algorithms that operate in an open world and are downstream-aware (i.e., efficient and planner-friendly for mobile robots) to solve fundamental challenges in creating embodied robot agents.

We design a method that enables continual segmentation learning with few annotations via a guided data synthesis process.

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.

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.

Borrowed from Jon Barron's source code.