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James A. Preiss
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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
4072017
Trajectory planning for quadrotor swarms
W Hönig, JA Preiss, TKS Kumar, GS Sukhatme, N Ayanian
IEEE Transactions on Robotics 34 (4), 856-869, 2018
2692018
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
992019
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
842017
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
652017
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
372019
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
352018
Trajectory Optimization for Self-Calibration and Navigation.
JA Preiss, K Hausman, GS Sukhatme, S Weiss
Robotics: Science and Systems 13, 2017
302017
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
112020
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
102022
Online adaptive policy selection in time-varying systems: No-regret via contractive perturbations
Y Lin, JA Preiss, E Anand, Y Li, Y Yue, A Wierman
Advances in Neural Information Processing Systems 36, 2024
9*2024
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
92019
Online switching control with stability and regret guarantees
Y Li, JA Preiss, N Li, Y Lin, A Wierman, JS Shamma
Learning for Dynamics and Control Conference, 1138-1151, 2023
62023
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
62019
Quadswarm: A modular multi-quadrotor simulator for deep reinforcement learning with direct thrust control
Z Huang, S Batra, T Chen, R Krupani, T Kumar, A Molchanov, A Petrenko, ...
arXiv preprint arXiv:2306.09537, 2023
32023
Suboptimal coverings for continuous spaces of control tasks
JA Preiss, GS Sukhatme
Learning for Dynamics and Control, 547-558, 2021
22021
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
22018
Resilient multi-robot multi-target tracking
RK Ramachandran, N Fronda, JA Preiss, Z Dai, GS Sukhatme
IEEE Transactions on Automation Science and Engineering, 2023
12023
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
12020
Learning-augmented Control via Online Adaptive Policy Selection: No Regret via Contractive Perturbations
Y Lin, JA Preiss, ET Anand, Y Li, Y Yue, A Wierman
ACM SIGMETRICS, Workshop on Learning-augmented Algorithms: Theory and …, 2023
2023
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Articles 1–20