activity
20172024
most citedDesign, Simulation, and Testing of a Flexible Actuated Spine for Quadruped Robots

19 citations · 40 across the 11 of their papers we have counts for

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Showing eess.SYShow all

5 papers · 1 filter

eess.SY2022★ 1 cited

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria

Edward L. Zhu, Francesco Borrelli

Dynamic games can be an effective approach to modeling interactive behavior between multiple non-cooperative agents and they provide a theoretical framework for simultaneous predic…

eess.SY2020

Distributed Learning Model Predictive Control for Linear Systems

Yvonne R. Stürz, Edward L. Zhu, Ugo Rosolia +2

This paper presents a distributed learning model predictive control (DLMPC) scheme for distributed linear time invariant systems with coupled dynamics and state constraints. The pr…

eess.SY2020

Trajectory Optimization for Nonlinear Multi-Agent Systems using Decentralized Learning Model Predictive Control

Edward L. Zhu, Yvonne R. Stürz, Ugo Rosolia +1

We present a decentralized minimum-time trajectory optimization scheme based on learning model predictive control for multi-agent systems with nonlinear decoupled dynamics and coup…

eess.SY2018

Trajectory Tracking Control of a Flexible Spine Robot, With and Without a Reference Input

Andrew P. Sabelhaus, Shirley Huajing Zhao, Mallory C. Daly +6

The Underactuated Lightweight Tensegrity Robotic Assistive Spine (ULTRA Spine) project is an ongoing effort to develop a flexible, actuated backbone for quadruped robots. In this w…

eess.SY2018

Model-Predictive Control with Inverse Statics Optimization for Tensegrity Spine Robots

Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu +2

Robots with flexible spines based on tensegrity structures have potential advantages over traditional designs with rigid torsos. However, these robots can be difficult to control d…