Hopping and rolling locomotion with spherical tensegrity robots. - Kyunam Kim; Lee-Huang Chen; Brian Cera; Mallory Daly; Edward Zhu; Julien Despois; Adrian K. Agogino; Vytas SunSpiral; Alice M. Agogino (IROS, 2016)

Inclined surface locomotion strategies for spherical tensegrity robots. - Lee-Huang Chen; Brian Cera; Edward L. Zhu; Riley Edmunds; Franklin Rice; Antonia Bronars; Ellande Tang; Saunon R. Malekshahi; Osvaldo Romero; Adrian K. Agogino; Alice M. Agogino (IROS, 2017)

Design, Simulation, and Testing of Laika, a Quadruped Robot with a Flexible Actuated Spine. - Andrew P. Sabelhaus; Lara Janse van Vuuren; Ankita Joshi; Edward Zhu; Hunter J. Garnier; Kimberly A. Sover; Jesús Navarro; Adrian K. Agogino; Alice M. Agogino (CoRR, 2018)

Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots. - Andrew P. Sabelhaus; Huajing Zhao; Edward L. Zhu; Adrian K. Agogino; Alice M. Agogino (CoRR, 2018)

Trajectory Tracking Control of a Flexible Spine Robot, With and Without a Reference Input. - Andrew P. Sabelhaus; Shirley Huajing Zhao; Mallory C. Daly; Ellande Tang; Edward Zhu; Abishek K. Akella; Zeerek A. Ahmad; Vytas SunSpiral; Alice M. Agogino (CoRR, 2018)

Distributed Learning Model Predictive Control for Linear Systems. - Yvonne R. Stürz; Edward L. Zhu; Ugo Rosolia; Karl Henrik Johansson; Francesco Borrelli (CDC, 2020)

Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control. - Edward L. Zhu; Yvonne R. Stürz; Ugo Rosolia; Francesco Borrelli (CDC, 2020)

Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach. - Xu Shen 003; Edward L. Zhu; Yvonne R. Stürz; Francesco Borrelli (ICRA, 2021)

Model-Predictive Control With Inverse Statics Optimization for Tensegrity Spine Robots. - Andrew P. Sabelhaus; Huajing Zhao; Edward L. Zhu; Adrian K. Agogino; Alice M. Agogino (IEEE Trans. Control. Syst. Technol., 2021)

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria. - Edward L. Zhu; Francesco Borrelli (ICRA, 2023)

A Gaussian Process Model for Opponent Prediction in Autonomous Racing. - Edward L. Zhu; Finn Lukas Busch; Jake Johnson; Francesco Borrelli (IROS, 2023)

Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing. - Haoru Xue; Edward L. Zhu; Francesco Borrelli (CoRR, 2023)

Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing. - Haoru Xue; Edward L. Zhu; John M. Dolan; Francesco Borrelli (ICRA, 2024)

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing. - Edward L. Zhu; Francesco Borrelli (CoRR, 2024)

Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control. - Hansung Kim; Edward L. Zhu; Chang Seok Lim; Francesco Borrelli (L4DC, 2025)