Xiaobin Xiong

Xiaobin Xiong 熊晓滨

Postdoctoral Researcher, California Institute of Technology

CV, Google Scholar, GitHub, Media (Videos of Research Work)

I seek efficient, effective, and elegant solutions to the motion synthesis problem on high-dimensional robotic systems that have hybrid dynamics from the physical interactions with the environment. I am always exploring new tools and techniques that potentially can solve or help to solve the problems I am interested in. My research so far has been mainly focused on bipedal robotic locomotion, including dynamic motion planning and feedback control synthesis, using a variety of techniques from dynamics modeling, control theory, numerical optimization, and data-driven approximations.

Education

PhD in Mechanical Engineering, Advisor: Aaron Ames (AMBER Lab), California Institute of Technology, May 2021
- - - Thesis: Reduced Order Model Inspired Robotic Bipedal Walking: A Step-to-step Dynamics Approximation based Approach
    - Committee: Joel Burdick, Richard Murray, Koushil Sreenath, Aaron Ames
Master's in Mechanical Engineering, Advisors: Kevin M Lynch and Paul Umbanhowar, Northwestern University, 2015
B.S. in Mechanical Engineering, Tongji University, 2013

Awards

RoboCup Best Paper Award, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Amazon Fellowship in Artificial Intelligence, Information Science and Technology (IST) Caltech & Amazon, 2019
Simoudis Discovery Fund, Information Science and Technology (IST) Caltech, 2018
Graduate Student Travel Grant, Caltech, 2019
IROS Student and Developing Countries (SDC) Travel Award, 2018 & 2019
IROS-NSF Doctoral Consortium/Travel Award, IEEE, 2017
Mubea scholarship, 2012, Enn New Energy scholarship, 2011, External scholarship for Tongji University
1st class scholarship (2012, 2011), 2nd class scholarship (2010), Outstanding Student Award (2012), Tongji University
Second Prize of the National Driverless Car Competition, Freescale Ltd & Ministry of Education of China, 2012