Thomas Lew

According to our database, Thomas Lew authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

Risk-Averse Trajectory Optimization via Sample Average Approximation.

Thomas Lew, Riccardo Bonalli, Marco Pavone

IEEE Robotics Autom. Lett., February, 2024

Sample Average Approximation for Stochastic Programming with Equality Constraints.

Thomas Lew, Riccardo Bonalli, Marco Pavone

SIAM J. Optim., 2024

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling.

Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John Subosits, Thomas Lew

CoRR, 2024

Risk-Averse Model Predictive Control for Racing in Adverse Conditions.

Thomas Lew, Marcus Greiff, Franck Djeumou, Makoto Suminaka, Michael Thompson, John Subosits

CoRR, 2024

2023

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.

Riccardo Bonalli, Thomas Lew, Marco Pavone

IEEE Trans. Autom. Control., August, 2023

Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications.

Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone

CoRR, 2023

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization.

Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Exact Characterization of the Convex Hulls of Reachable Sets.

Thomas Lew, Riccardo Bonalli, Marco Pavone

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

Field Robotics, March, 2022

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.

Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone

IEEE Trans. Robotics, 2022

A System-Level View on Out-of-Distribution Data in Robotics.

Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone

CoRR, 2022

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.

Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis.

Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone

Proceedings of the Learning for Dynamics and Control Conference, 2022

Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.

Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone

Proceedings of the Robotics Research, 2022

2021

Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC.

Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder

IEEE Robotics Autom. Lett., 2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.

Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone

CoRR, 2021

Convex Optimization for Trajectory Generation.

Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk, Thomas Lew, Riccardo Bonalli, Marco Pavone, Behçet Açikmese

CoRR, 2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

CoRR, 2021

2020

Sequential Convex Programming For Non-Linear Stochastic Optimal Control.

Riccardo Bonalli, Thomas Lew, Marco Pavone

CoRR, 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.

Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone

CoRR, 2020

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization.

Thomas Lew, Riccardo Bonalli, Marco Pavone

Proceedings of the 18th European Control Conference, 2020

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.

Thomas Lew, Marco Pavone

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Contact Inertial Odometry: Collisions are your Friend.

Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-akbar Agha-mohammadi

CoRR, 2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.

Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone

Proceedings of the Robotics: Science and Systems XV, 2019

Contact Inertial Odometry: Collisions are your Friends.

Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-akbar Agha-mohammadi

Proceedings of the Robotics Research, 2019