Chenyu Gu

Chenyu Gu

he/him

An engineer student with a deep fascination for technology.

Biography 🦁

Hi, I am Chenyu Gu, currently a Master student at Georgia Institute of Technology (GaTech) in Atlanta, United States 🇺🇸, supervised by Dr. Jaydev Desai. I received my Bachelor’s degree at Southern University of Science and Technology (SUSTech) in Shenzhen, China 🇨🇳, under Dr. Mingming Zhang.

Research Interests 🔬

  • Medical & Bio-Robotics: Surgical robots, wearable and rehabilitation robotics, soft robotics, data-driven robotic control.
  • Medical Devices & Digital Health: Wearable/portable devices, surgical navigation, tele-rehabilitation.
  • Biomechanics & Physiological Signals: Gait and locomotion analysis, motion tracking, multi-modal sensing and analysis.

News & Updates 🎉

  • [Nov 2025] My paper on Continuum Robotics was submitted to ISMR 2026!
  • [Aug 2024] Started my Master’s program at Georgia Tech.
  • [Jun 2024] Graduated from Southern University of Science and Technology with a Bachelor’s degree in Intelligent Medical Engineering.

Selected Projects 🤖

Project Name

Design and Modeling of a Hydraulic Continuum Robot

We designed and modeled a hydraulic actutated polymer-based continuum robot for minimal invasive surgery. We manufacture the robot with a hydraulic actuator and an outer polymer-based sheath. A demonstration under a 2D phantom shows its potential under minmal invasive surgery.

Project Name

Inertial Navigation System for Total Hip Arthroplasty

In direct anterior total hip arthroplasty, accurate RA and RI angles are essential but are typically determined using X-ray, causing radiation exposure. We developed a wireless inertial-based navigation system with real-time visualization to eliminate this need.

Project Name

Deep Learning Framework for Motion Reconstruction

We developed a deep learning framework to reconstruct 3D human motion from sparse IMU data and UWB localization signal. The framework leverages temporal recurrent neural networks to capture motion dynamics, achieving high accuracy in motion reconstruction for applications in biomechanics and virtual reality.