Edward L. Zhu - RankMe

19 papers A* 3A 2Journal 11Unranked 3

Year	Rank	Type	Title / 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