Benjamin Gravell

According to our database, Benjamin Gravell authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Risk bounded nonlinear robot motion planning with integrated perception & control.

Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers

Artif. Intell., 2023

2022

Anomaly Detection Under Multiplicative Noise Model Uncertainty.

Venkatraman Renganathan, Benjamin J. Gravell, Justin Ruths, Tyler H. Summers

IEEE Control. Syst. Lett., 2022

Identification of linear systems with multiplicative noise from multiple trajectory data.

Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers

Autom., 2022

Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise.

Benjamin Gravell, Iman Shames, Tyler H. Summers

Proceedings of the Learning for Dynamics and Control Conference, 2022

Policy Iteration for Multiplicative Noise Output Feedback Control.

Benjamin Gravell, Matilde Gargiani, John Lygeros, Tyler H. Summers

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Learning Optimal Controllers for Linear Systems With Multiplicative Noise via Policy Gradient.

Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers

IEEE Trans. Autom. Control., 2021

Policy Iteration for Linear Quadratic Games With Stochastic Parameters.

Benjamin Gravell, Karthik Ganapathy, Tyler H. Summers

IEEE Control. Syst. Lett., 2021

Centralized Collision-free Polynomial Trajectories and Goal Assignment for Aerial Swarms.

Benjamin Gravell, Tyler H. Summers

CoRR, 2021

Approximate Midpoint Policy Iteration for Linear Quadratic Control.

Benjamin Gravell, Iman Shames, Tyler H. Summers

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Risk-Averse RRT* Planning with Nonlinear Steering and Tracking Controllers for Nonlinear Robotic Systems Under Uncertainty.

Sleiman Safaoui, Benjamin J. Gravell, Venkatraman Renganathan, Tyler H. Summers

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Stochastic Stability via Robustness of Linear Systems.

Benjamin Gravell, Tyler H. Summers

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Robust Learning-Based Control via Bootstrapped Multiplicative Noise.

Benjamin Gravell, Tyler H. Summers

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data.

Yu Xing, Benjamin Gravell, Xingkang He, Karl Henrik Johansson, Tyler H. Summers

Proceedings of the 2020 American Control Conference, 2020

2019

Sparse optimal control of networks with multiplicative noise via policy gradient.

Benjamin Gravell, Yi Guo, Tyler H. Summers

CoRR, 2019

Learning robust control for LQR systems with multiplicative noise via policy gradient.

Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler H. Summers

CoRR, 2019