| 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 | 227* | 2022 |
| 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 | 218* | 2021 |
| 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 | 79* | 2022 |
| Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization T Lew, R Bonalli, M Pavone European Control Conference (ECC), 2020 | 78 | 2020 |
| 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 | 54 | 2019 |
| Sampling-based reachability analysis: A random set theory approach with adversarial sampling T Lew, M Pavone 2020 Conference on Robot Learning (CoRL), 2020 | 53 | 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 | 35 | 2019 |
| 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 | 31 | 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 | 25 | 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 68 (8), 4570-4585, 2022 | 25 | 2022 |
| Data-Driven Chance Constrained Control using Kernel Distribution Embeddings AJ Thorpe, T Lew, MMK Oishi, M Pavone Learning for Dynamics and Control (L4DC), 2022 | 23 | 2022 |
| 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 | 22 | 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 | 18 | 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 | 18 | 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 | 16 | 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 | 12 | 2021 |
| Risk-averse trajectory optimization via sample average approximation T Lew, R Bonalli, M Pavone IEEE Robotics and Automation Letters, 2023 | 10 | 2023 |
| 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 | 9 | 2022 |
| Sample average approximation for stochastic programming with equality constraints T Lew, R Bonalli, M Pavone SIAM Journal on Optimization 34 (4), 3506-3533, 2024 | 8 | 2024 |
| 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 | 7 | 2021 |
Marco PavoneStanford University and NVIDIAVerified email at stanford.edu