YUAN GAO
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Yuan Gao

Control Engineer, Ph.D.

About Me

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Yuan Gao is a control engineer at Brooks Automation, specializing in cutting-edge wafer-handling robotic arms. With a strong foundation in both academia and industry, Yuan seamlessly bridges theoretical knowledge and practical application, having authored multiple journal articles in the robotics field while tackling real-world engineering challenges. His passion for robotics ignited at a young age, fueling his deep interest in math and programming. During his free time, Yuan can be found skateboarding or shredding on his electric guitar.​

What's New?

  • I joined Brooks Automation as a control engineer! (03/2024)
  • I got my PhD! (12/2023)
  • My paper Global-Position Tracking Control for Multi-Domain Bipedal Walking with Underactuation​ is accepted! (12/2023)
  • My paper Time-Varying ALIP Model and Robust Foot-placement Control for underactuated Bipedal Robot Walking on a Swaying Ridid Surface​ is accepted! (01/2023)
  • My paper Invariant Filtering for Legged Humanoid Locomotion on a Dynamic Rigid Surface​ is accepted! (04/2022)
  • My paper (second author) Global-Position Tracking Control of 3-D Bipedal Walking via Virtual Constraint Design and Multiple Lyapunov Analysis is accepted! (02/2022)
  • I earned Udacity's Sensor Fusion NanoDegree certificate! (08/2021)
  • My paper Hybrid Invariant Extended Kalman Filtering for Bipedal Robot Walking on Dynamic Rigid Surfaces is accepted! (06/2021)
  • I earned Udacity's Deep Reinforcement Learning NanoDegree certificate! (01/2021)
  • I earned Udacity's C++ NanoDegree certificate! (11/2020)
  • My paper (second author) Provably Stabilizing Controllers for Quadrupedal Robot Walking on Dynamic Rigid Surfaces is accepted and wins the Best Student Paper Finalist at AIM 2020! (08/2020)
  • My paper Impact-Aware Online Motion Planning for Fully-Actuated Bipedal Robotic Walking is accepted! (01/2020)
  • My paper Global-Position Tracking Control for Multi-Domain Planar Bipedal Robotic Walking is accepted! (06/2019)
  • Our research on using 5G to remotely control legged robots is now reported in Boston Globe, CNET, Robotics Business Review, and NPR's wbur. (05/2019)
  • I lead a group to receive an award from Verizon and Ericsson to further our participation in MassTLC 5G Robotic Challenge (02/2019)​
  • My paper Global-Position Tracking Control of a Fully Actuated NAO Bipedal Walking Robot is accepted! (01/2019)
  • I started my Ph.D. journey. (02/2018)

Research Work During Ph.D.

My Ph.D. research focuses on state estimation, online motion planning, and nonlinear control of hybrid systems with application to legged robot locomotion.
My goal is to develop the legged robotic system to freely navigate through the dangerous, complicated environment to help people.
My expertise includes:
  • nonlinear state estimation​
  • motion planning 
  • nonlinear control​
  • deep reinforcement learning
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Foot-placement control for Bipedal Robot on a Swaying Rigid Surface
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Invariant Filtering for Legged Humanoid Locomotion on a Dynamic Rigid Surface

Provably Stabilizing Controllers for Quadrupedal Robot Walking on Dynamic Rigid Surfaces

Overview of 5G Robotic Challenge
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differential drive robot track and play keyboard

Non-gait Strategy to Deal with the
Obstacles

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