Bio

Howdy, my name's Jeremy Morgan. I'm a fifth year Ph.D. candidate in the Robotics Embedded Systems Lab at the University of Southern California where I work with Gaurav Sukhatme on robotic manipulation. My research focus on the time being is Model Predictive Control and World Model learning for robotic manipulation tasks. My previous research projects where in the areas of Inverse Kinematics, Constrained Motion Planning, and Imitation Learning.

Prior to starting at USC, I studied Computer Engineering and CS at Duke with a focus in signal processing. After graduating I worked at Third Wave Automation building autonomous forklifts for warehouse automation.

Outside of research I spend my time playing tennis and watching movies. Class and hobby projects found here.

Big picture, during my career I hope to leave a substantial positive impact on society and make some money doing it. Don't hesitate to reach out if you'd like to connect. space.

Research

News

  • 11/2026: My paper "SyncTwin: Fast Digital Twin Construction and Synchronization for Safe Robotic Grasping" was accepted to RA-L
  • 6/2026 - 8/2026: Visiting the GRAIL lab at NYU as a visiting scholar.
  • 8/2025 - 4/2026: I interned at the Robotics and AI Institute (previously called the Boston Dynamics AI Institute) where I worked on data efficient and visually robust imitation learning.
  • 8/2025: I traveled to Odense, Denmark where I participated in the Elite Summer School in Robotics and Entrepreneurship for a three week period. One of 50 selected worldwide to attend.
  • 1/2025: My paper "CppFlow: Generative Inverse Kinematics for Efficient and Robust Cartesian Path Planning" was accepted to ICRA 2025
  • 8/2022: I began my PhD at USC
  • 7/2022: My paper "IKFlow: Generating Diverse Inverse Kinematics Solutions" was accepted to RA-L
  • 7/2020: I started work at Third Wave Automation
  • 5/2020: I graduated from Duke University with a BSE in Electrical and Computer Engineering and Computer Science.