Crazyswarm: A large nano-quadcopter swarm. - James A. Preiss; Wolfgang Hönig; Gaurav S. Sukhatme; Nora Ayanian (ICRA, 2017)

Downwash-aware trajectory planning for large quadrotor teams. - James A. Preiss; Wolfgang Hönig; Nora Ayanian; Gaurav S. Sukhatme (IROS, 2017)

Trajectory Optimization for Self-Calibration and Navigation. - James A. Preiss; Karol Hausman; Gaurav S. Sukhatme; Stephan Weiss 002 (Robotics: Science and Systems, 2017)

Downwash-Aware Trajectory Planning for Large Quadcopter Teams. - James A. Preiss; Wolfgang Hönig; Nora Ayanian; Gaurav S. Sukhatme (CoRR, 2017)

Observability-Aware Trajectory Optimization for Self-Calibration With Application to UAVs. - Karol Hausman; James A. Preiss; Gaurav S. Sukhatme; Stephan Weiss 002 (IEEE Robotics Autom. Lett., 2017)

Simultaneous self-calibration and navigation using trajectory optimization. - James A. Preiss; Karol Hausman; Gaurav S. Sukhatme; Stephan Weiss 002 (Int. J. Robotics Res., 2018)

Trajectory Planning for Quadrotor Swarms. - Wolfgang Hönig; James A. Preiss; T. K. Satish Kumar; Gaurav S. Sukhatme; Nora Ayanian (IEEE Trans. Robotics, 2018)

Estimating Metric Scale Visual Odometry from Videos using 3D Convolutional Networks. - Alexander S. Koumis; James A. Preiss; Gaurav S. Sukhatme (IROS, 2019)

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors. - Artem Molchanov; Tao Chen; Wolfgang Hönig; James A. Preiss; Nora Ayanian; Gaurav S. Sukhatme (IROS, 2019)

Resilience by Reconfiguration: Exploiting Heterogeneity in Robot Teams. - Ragesh K. Ramachandran; James A. Preiss; Gaurav S. Sukhatme (IROS, 2019)

Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator. - James A. Preiss; Sébastien M. R. Arnold; Chen-Yu Wei; Marius Kloft (CoRR, 2019)

Resilient Coverage: Exploring the Local-to-Global Trade-off. - Ragesh K. Ramachandran; Lifeng Zhou; James A. Preiss; Gaurav S. Sukhatme (IROS, 2020)

Suboptimal coverings for continuous spaces of control tasks. - James A. Preiss; Gaurav S. Sukhatme (L4DC, 2021)

Tracking Fast Trajectories with a Deformable Object using a Learned Model. - James A. Preiss; David Millard 001; Tao Yao; Gaurav S. Sukhatme (ICRA, 2022)

Parameter Estimation for Deformable Objects in Robotic Manipulation Tasks. - David Millard 001; James A. Preiss; Jernej Barbic; Gaurav S. Sukhatme (ISRR, 2022)

Online switching control with stability and regret guarantees. - Yingying Li; James A. Preiss; Na Li 002; Yiheng Lin 001; Adam Wierman; Jeff S. Shamma (L4DC, 2023)

Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations. - Yiheng Lin 001; James A. Preiss; Emile Anand; Yingying Li; Yisong Yue; Adam Wierman (NeurIPS, 2023)

QuadSwarm: A Modular Multi-Quadrotor Simulator for Deep Reinforcement Learning with Direct Thrust Control. - Zhehui Huang; Sumeet Batra; Tao Chen; Rahul Krupani; Tushar Kumar; Artem Molchanov; Aleksei Petrenko; James A. Preiss; Zhaojing Yang; Gaurav S. Sukhatme (CoRR, 2023)

Online Policy Optimization in Unknown Nonlinear Systems. - Yiheng Lin 001; James A. Preiss; Fengze Xie; Emile Anand; Soon-Jo Chung; Yisong Yue; Adam Wierman (COLT, 2024)

MAGIC-VFM: Meta-learning Adaptation for Ground Interaction Control with Visual Foundation Models. - Elena-Sorina Lupu; Fengze Xie; James A. Preiss; Jedidiah Alindogan; Matthew Anderson; Soon-Jo Chung (CoRR, 2024)

Resilient Multi-Robot Multi-Target Tracking. - Ragesh Kumar Ramachandran; Nicole Fronda; James A. Preiss; Zhenghao Dai; Gaurav S. Sukhatme (IEEE Trans Autom. Sci. Eng., 2024)

MAGICVFM-Meta-Learning Adaptation for Ground Interaction Control With Visual Foundation Models. - Elena-Sorina Lupu; Fengze Xie; James A. Preiss; Jedidiah Alindogan; Matthew Anderson; Soon-Jo Chung (IEEE Trans. Robotics, 2025)

Worst-Case Analysis of Decoupled Policies for Multi-Location Inventory Control Problems. - Yohan John; Vade Shah; James A. Preiss; Mahnoosh Alizadeh; Jason R. Marden (CoRR, 2025)

Fast Non-Episodic Adaptive Tuning of Robot Controllers with Online Policy Optimization. - James A. Preiss; Fengze Xie; Yiheng Lin 001; Adam Wierman; Yisong Yue (CoRR, 2025)