| Crazyswarm: A large nano-quadcopter swarm JA Preiss, W Honig, GS Sukhatme, N Ayanian 2017 IEEE International Conference on Robotics and Automation (ICRA), 3299-3304, 2017 | 295 | 2017 |
| Trajectory planning for quadrotor swarms W Hönig, JA Preiss, TKS Kumar, GS Sukhatme, N Ayanian IEEE Transactions on Robotics 34 (4), 856-869, 2018 | 199 | 2018 |
| Sim-to-(multi)-real: Transfer of low-level robust control policies to multiple quadrotors A Molchanov, T Chen, W Hönig, JA Preiss, N Ayanian, GS Sukhatme 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 69 | 2019 |
| Downwash-aware trajectory planning for large quadrotor teams JA Preiss, W Hönig, N Ayanian, GS Sukhatme 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 69 | 2017 |
| Observability-aware trajectory optimization for self-calibration with application to uavs K Hausman, J Preiss, GS Sukhatme, S Weiss IEEE Robotics and Automation Letters 2 (3), 1770-1777, 2017 | 58 | 2017 |
| Resilience by reconfiguration: Exploiting heterogeneity in robot teams RK Ramachandran, JA Preiss, GS Sukhatme 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 31 | 2019 |
| Trajectory Optimization for Self-Calibration and Navigation. JA Preiss, K Hausman, GS Sukhatme, S Weiss Robotics: Science and Systems 13, 2017 | 29 | 2017 |
| Simultaneous self-calibration and navigation using trajectory optimization JA Preiss, K Hausman, GS Sukhatme, S Weiss The International Journal of Robotics Research 37 (13-14), 1573-1594, 2018 | 26 | 2018 |
| Resilient coverage: Exploring the local-to-global trade-off RK Ramachandran, L Zhou, JA Preiss, GS Sukhatme 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 5 | 2020 |
| Analyzing the variance of policy gradient estimators for the linear-quadratic regulator JA Preiss, SMR Arnold, CY Wei, M Kloft arXiv preprint arXiv:1910.01249, 2019 | 5 | 2019 |
| Estimating metric scale visual odometry from videos using 3d convolutional networks AS Koumis, JA Preiss, GS Sukhatme 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 4 | 2019 |
| Tracking fast trajectories with a deformable object using a learned model JA Preiss, D Millard, T Yao, GS Sukhatme 2022 International Conference on Robotics and Automation (ICRA), 1351-1357, 2022 | 3 | 2022 |
| Learning a System-ID Embedding Space for Domain Specialization with Deep Reinforcement Learning JA Preiss, K Hausman, GS Sukhatme NeurIPS 2018 Workshop on Reinforcement Learning under Partial Observability, 2018 | 2 | 2018 |
| Online adaptive controller selection in time-varying systems: No-regret via contractive perturbations Y Lin, J Preiss, E Anand, Y Li, Y Yue, A Wierman arXiv preprint arXiv:2210.12320, 2022 | 1 | 2022 |
| Suboptimal coverings for continuous spaces of control tasks JA Preiss, GS Sukhatme Learning for Dynamics and Control, 547-558, 2021 | 1 | 2021 |
| A closer look at reinforcement learning for neural network architecture search JA Preiss, E Hotaj, H Mazzawi ICLR 2020 Workshop on Neural Architecture Search, 2020 | 1 | 2020 |
| Online switching control with stability and regret guarantees Y Li, JA Preiss, N Li, Y Lin, A Wierman, J Shamma arXiv preprint arXiv:2301.08445, 2023 | | 2023 |
| Characterizing and Improving Robot Learning: A Control-Theoretic Perspective JA Preiss University of Southern California, 2022 | | 2022 |
| Deep Recurrent Models for Nonlinear Model Predictive Control in Deformable Manipulation Tasks JA Preiss, D Millard, T Yao, GS Sukhatme | | |
| Resilient Multi-Robot Multi-Target Tracking RK Ramachandran, N Fronda, JA Preiss, Z Dai, GS Sukhatme | | |
