On quest for machines that can learn 🤖🦾🦿
jxu at cs dot columbia dot edu
PhD Student,
Department of Computer Science
Member,
Robotic Manipulation and Mobility (ROAM) Lab
Columbia University
Member,
Robotics and Embodied Artificial Intelligence (REAL) Lab
Stanford University
I am a fifth-year Ph.D. in Computer Science at Columbia University, co-advised by Professor Matei Ciocarlie and Shuran Song. I received my bachelor’s degree from Edinburgh, with First Class Honours and Class Medal (overall grade ranks first in class), and I received an MS from Columbia, where I worked closely with Professor Peter Allen. I also spent some time as a research intern at Boston Dynamics AI Institute and as a visiting student at MIT (with Leslie Pack Kaelbling and Tomás Lozano-Pérez) and UPenn (with Dinesh Jayaraman and Nikolai Matni).
My research focuses are robotics, machine learning and healthcare. My most recent line of work [RA-L'24, IROS'24, ICRA'22] builds wearable assistive and rehabilitation robots that use machine learning to predict user intent from multimodal biosignals for people with disabilities. I also develop efficient exploration and manipulation policies with tactile sensing [arXiv'24, ICRA'23, RA-L'22]. At the same time, I am a multifaceted roboticist with research experience in a variety of applications such as dynamic grasping [CASE'24, IROS'21], visual navigation [IROS'20], motion planning [CoRL'20], optimal control [L4DC'21], and brain-computer interface [ICRA'20].
*: indicating equal contribution or alphabetic ordering. You can also check my
Google Scholar
profile.
(Co-)First-author papers are highlighted.
I am always interested in mentoring highly-motivated undergrads/masters. If you are at Columbia (preferred) and want to discuss project ideas/research opportunities, please feel free to shoot me an email.
Teaching assistant at Columbia University for: