Thomas Lew

50 papers A* 2C 4Misc 2Journal 37Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dynamic Association of Semantics and Parameter Estimates by Filtering.
CoRR
Marcus Greiff, Ray Zhang, Thomas Lew, John K. Subosits
2026 J jnl
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models.
CoRR
Paul Brunzema, Thomas Lew, Ray Zhang, Takeru Shirasawa, John K. Subosits, Marcus Greiff
2025 C conf
Control Barrier Functions for Shared Control and Vehicle Safety.
ACC
James Dallas, John Talbot, Makoto Suminaka, Michael Thompson, Thomas Lew, Gábor Orosz, John K. Subosits
2025 J jnl
Control Barrier Functions for Shared Control and Vehicle Safety.
CoRR
James Dallas, John Talbot, Makoto Suminaka, Michael Thompson, Thomas Lew, Gábor Orosz, John K. Subosits
2025 J jnl
Convex Hulls of Reachable Sets.
IEEE Trans. Autom. Control.
Thomas Lew, Riccardo Bonalli, Marco Pavone
2025 J jnl
Differentiable Model Predictive Control on the GPU.
CoRR
Emre Adabag, Marcus Greiff, John K. Subosits, Thomas Lew
2025 J jnl
Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications.
Discret. Comput. Geom.
Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone
2025 J jnl
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling.
IEEE Robotics Autom. Lett.
Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John K. Subosits, Thomas Lew
2025 J jnl
MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries.
CoRR
François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme Nateghi Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen
2025 C conf
Out of Sequence Variational Filtering with Forward Tracklets.
ACC
Marcus Greiff, Thomas Lew, John K. Subosits
2025 A* conf
Risk-Averse Model Predictive Control for Racing in Adverse Conditions.
ICRA
Thomas Lew, Marcus Greiff, Franck Djeumou, Makoto Suminaka, Michael Thompson, John K. Subosits
2025 J jnl
Rough Stochastic Pontryagin Maximum Principle and an Indirect Shooting Method.
CoRR
Thomas Lew
2025 J jnl
Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size.
CoRR
Thomas Lew, Marcus Greiff, John K. Subosits, Brian Plancher
2024 J jnl
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling.
CoRR
Alexander Davydov, Franck Djeumou, Marcus Greiff, Makoto Suminaka, Michael Thompson, John K. Subosits, Thomas Lew
2024 Misc conf
One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits.
CoRL
Franck Djeumou, Thomas Lew, Nan Ding, Michael Thompson, Makoto Suminaka, Marcus Greiff, John K. Subosits
2024 J jnl
Risk-Averse Model Predictive Control for Racing in Adverse Conditions.
CoRR
Thomas Lew, Marcus Greiff, Franck Djeumou, Makoto Suminaka, Michael Thompson, John K. Subosits
2024 J jnl
Risk-Averse Trajectory Optimization via Sample Average Approximation.
IEEE Robotics Autom. Lett.
Thomas Lew, Riccardo Bonalli, Marco Pavone
2024 J jnl
Sample Average Approximation for Stochastic Programming with Equality Constraints.
SIAM J. Optim.
Thomas Lew, Riccardo Bonalli, Marco Pavone
2023 J jnl
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.
IEEE Trans. Autom. Control.
Riccardo Bonalli, Thomas Lew, Marco Pavone
2023 J jnl
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications.
CoRR
Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone
2023 — conf
Exact Characterization of the Convex Hulls of Reachable Sets.
CDC
Thomas Lew, Riccardo Bonalli, Marco Pavone
2023 J jnl
Exact Characterization of the Convex Hulls of Reachable Sets.
CoRR
Thomas Lew, Riccardo Bonalli, Marco Pavone
2023 J jnl
Risk-Averse Trajectory Optimization via Sample Average Approximation.
CoRR
Thomas Lew, Riccardo Bonalli, Marco Pavone
2023 A* conf
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization.
ICRA
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey T. Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez
2022 — conf
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis.
L4DC
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
2022 J jnl
A System-Level View on Out-of-Distribution Data in Robotics.
CoRR
Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone
2022 — conf
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.
L4DC
Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone
2022 J jnl
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings.
CoRR
Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone
2022 J jnl
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics
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 T. 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
2022 J jnl
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization.
CoRR
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey T. Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez
2022 C conf
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.
ISRR
Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone
2022 J jnl
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems.
CoRR
Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone
2022 J jnl
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.
IEEE Trans. Robotics
Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone
2022 J jnl
Sample Average Approximation for Stochastic Programming with Equality Constraints.
CoRR
Thomas Lew, Riccardo Bonalli, Marco Pavone
2021 J jnl
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis.
CoRR
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
2021 J jnl
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC.
CoRR
Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder
2021 J jnl
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC.
IEEE Robotics Autom. Lett.
Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder
2021 J jnl
Convex Optimization for Trajectory Generation.
CoRR
Danylo Malyuta, Taylor P. Reynolds, Michael Szmuk, Thomas Lew, Riccardo Bonalli, Marco Pavone, Behçet Açikmese
2021 J jnl
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.
CoRR
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 T. 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
2021 J jnl
On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.
CoRR
Thomas Lew, Apoorva Sharma, James Harrison, Edward Schmerling, Marco Pavone
2020 J jnl
Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.
CoRR
Riccardo Bonalli, Thomas Lew, Marco Pavone
2020 — conf
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization.
ECC
Thomas Lew, Riccardo Bonalli, Marco Pavone
2020 J jnl
Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.
CoRR
Thomas Lew, Apoorva Sharma, James Harrison, Marco Pavone
2020 Misc conf
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.
CoRL
Thomas Lew, Marco Pavone
2020 J jnl
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.
CoRR
Thomas Lew, Marco Pavone
2020 J jnl
Sequential Convex Programming For Non-Linear Stochastic Optimal Control.
CoRR
Riccardo Bonalli, Thomas Lew, Marco Pavone
2019 J jnl
Contact Inertial Odometry: Collisions are your Friend.
CoRR
Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-Akbar Agha-Mohammadi
2019 C conf
Contact Inertial Odometry: Collisions are your Friends.
ISRR
Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-Akbar Agha-Mohammadi
2019 — conf
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
Robotics: Science and Systems
Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Thomas Lew, Marco Pavone
2019 J jnl
Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
CoRR
Riccardo Bonalli, Andrew Bylard, Abhishek Cauligi, Thomas Lew, Marco Pavone