Edward L. Zhu

19 papers A* 3A 2Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control.
L4DC
Hansung Kim, Edward L. Zhu, Chang Seok Lim, Francesco Borrelli
2024 J jnl
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing.
CoRR
Edward L. Zhu, Francesco Borrelli
2024 A* conf
Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing.
ICRA
Haoru Xue, Edward L. Zhu, John M. Dolan, Francesco Borrelli
2024 J jnl
Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control.
CoRR
Hansung Kim, Edward L. Zhu, Chang Seok Lim, Francesco Borrelli
2023 A conf
A Gaussian Process Model for Opponent Prediction in Autonomous Racing.
IROS
Edward L. Zhu, Finn Lukas Busch, Jake Johnson, Francesco Borrelli
2023 A* conf
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria.
ICRA
Edward L. Zhu, Francesco Borrelli
2023 J jnl
Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing.
CoRR
Haoru Xue, Edward L. Zhu, Francesco Borrelli
2022 J jnl
A Gaussian Process Model for Opponent Prediction in Autonomous Racing.
CoRR
Finn Lukas Busch, Jake Johnson, Edward L. Zhu, Francesco Borrelli
2022 J jnl
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria.
CoRR
Edward L. Zhu, Francesco Borrelli
2021 A* conf
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach.
ICRA
Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli
2021 J jnl
Model-Predictive Control With Inverse Statics Optimization for Tensegrity Spine Robots.
IEEE Trans. Control. Syst. Technol.
Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu, Adrian K. Agogino, Alice M. Agogino
2020 J jnl
Collision Avoidance in Tightly-Constrained Environments without Coordination: a Hierarchical Control Approach.
CoRR
Xu Shen, Edward L. Zhu, Yvonne R. Stürz, Francesco Borrelli
2020 — conf
Distributed Learning Model Predictive Control for Linear Systems.
CDC
Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
2020 J jnl
Distributed Learning Model Predictive Control for Linear Systems.
CoRR
Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia, Karl Henrik Johansson, Francesco Borrelli
2020 — conf
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control.
CDC
Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
2020 J jnl
Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control.
CoRR
Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia, Francesco Borrelli
2018 J jnl
Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots.
CoRR
Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu, Adrian K. Agogino, Alice M. Agogino
2017 J jnl
Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots.
CoRR
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
2017 A conf
Inclined surface locomotion strategies for spherical tensegrity robots.
IROS
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