Thomas Lew
Thomas Lew
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge
A Agha, K Otsu, B Morrell, DD Fan, R Thakker, A Santamaria-Navarro, ...
Journal of Field Robotics (JFR), 2021
Convex Optimization for Trajectory Generation: A Tutorial on Generating Dynamically Feasible Trajectories Reliably and Efficiently
D Malyuta, TP Reynolds, M Szmuk, T Lew, R Bonalli, M Pavone, ...
IEEE Control Systems Magazine 42 (5), 40-113, 2022
Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization
T Lew, R Bonalli, M Pavone
European Control Conference (ECC), 2020
Safe active dynamics learning and control: A sequential exploration-exploitation framework
T Lew, A Sharma, J Harrison, A Bylard, M Pavone
IEEE Transactions on Robotics (T-RO), 2022
Trajectory optimization on manifolds: A theoretically-guaranteed embedded sequential convex programming approach
R Bonalli, A Bylard, A Cauligi, T Lew, M Pavone
Robotics: Science and Systems (RSS), 2019
Sampling-based reachability analysis: A random set theory approach with adversarial sampling
T Lew, M Pavone
2020 Conference on Robot Learning (CoRL), 2020
Contact Inertial Odometry: Collisions are your Friends
T Lew, T Emmei, DD Fan, T Bartlett, A Santamaria-Navarro, R Thakker, ...
International Symposium on Robotics Research (ISRR), 2019
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings
AJ Thorpe, T Lew, MMK Oishi, M Pavone
Learning for Dynamics and Control (L4DC), 2022
Learning-based warm-starting for fast sequential convex programming and trajectory optimization
S Banerjee, T Lew, R Bonalli, A Alfaadhel, IA Alomar, HM Shageer, ...
2020 IEEE Aerospace Conference, 1-8, 2020
A system-level view on out-of-distribution data in robotics
R Sinha, A Sharma, S Banerjee, T Lew, R Luo, SM Richards, Y Sun, ...
arXiv preprint arXiv:2212.14020, 2022
Analysis of theoretical and numerical properties of sequential convex programming for continuous-time optimal control
R Bonalli, T Lew, M Pavone
IEEE Transactions on Automatic Control, 2022
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
T Lew, L Janson, R Bonalli, M Pavone
Learning for Dynamics and Control (L4DC), 2022
Sequential convex programming for non-linear stochastic optimal control
R Bonalli, T Lew, M Pavone
ESAIM: Control, Optimisation and Calculus of Variations 28, 64, 2022
Chance-Constrained Optimal Altitude Control of a Rocket
T Lew, F Lyck, GA Müller
8th European Conference for Aeronautics and Aerospace Sciences (EUCASS), 2019
Control barrier functions for cyber-physical systems and applications to NMPC
J Schilliger, T Lew, SM Richards, S Hänggi, M Pavone, C Onder
IEEE Robotics and Automation Letters 6 (4), 8623-8630, 2021
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization
T Lew, S Singh, M Prats, J Bingham, J Weisz, B Holson, X Zhang, ...
IEEE International Conference on Robotics and Automation (ICRA), 2022
Sample average approximation for stochastic programming with equality constraints
T Lew, R Bonalli, M Pavone
arXiv preprint arXiv:2206.09963, 2022
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems
A Wu, T Lew, K Solovey, E Schmerling, M Pavone
International Symposium on Robotics Research (ISRR), 2022
Risk-Averse Trajectory Optimization via Sample Average Approximation
T Lew, R Bonalli, M Pavone
IEEE Robotics and Automation Letters, 2023
On the problem of reformulating systems with uncertain dynamics as a stochastic differential equation
T Lew, A Sharma, J Harrison, E Schmerling, M Pavone
arXiv preprint arXiv:2111.06084, 2021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20