Marco Pavone

Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation

Mar 17, 2023
Shucheng Kang, Yuxiao Chen, Heng Yang, Marco Pavone

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* 18 pages, 2 figures

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FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

Mar 13, 2023
Jiawei Yang, Marco Pavone, Yue Wang

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* CVPR2023
* Project page: https://jiawei-yang.github.io/FreeNeRF/, Code at: https://github.com/Jiawei-Yang/FreeNeRF

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Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving

Mar 06, 2023
Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone

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* 7 pages, 3 figures, 1 table. Accepted at the International Conference on Robotics and Automation (ICRA) 2023

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Learning Control-Oriented Dynamical Structure from Data

Feb 06, 2023
Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone

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Tree-structured Policy Planning with Learned Behavior Models

Jan 27, 2023
Yuxiao Chen, Peter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone

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A System-Level View on Out-of-Distribution Data in Robotics

Dec 28, 2022
Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone

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Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems

Dec 14, 2022
Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer

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* 20 pages, 7 figures, extended version of paper submitted to the 5th Learning for Dynamics & Control Conference (L4DC 2023)

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DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles

Dec 13, 2022
Peter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone

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* CoRL 2022 camera ready

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Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles

Dec 06, 2022
Sushant Veer, Karen Leung, Ryan Cosner, Yuxiao Chen, Marco Pavone

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Adaptive Robust Model Predictive Control via Uncertainty Cancellation

Dec 02, 2022
Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone

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* Under review for the IEEE Transaction on Automatic Control, special issue on learning and control. arXiv admin note: text overlap with arXiv:2104.08261

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