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ORCIDMarco Pavone 0001
Person information
- affiliation: Stanford University, USA
Other persons with the same name
- Marco Pavone — disambiguation page
- Marco Pavone 0002
![[0000-0002-8674-5841]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8674-5841")
— Università degli Studi di Palermo, Palermo, Italy
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2020 – today
- 2023
[j50]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part 1. Computer 56(2): 14-18 (2023)- [j49]Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. IEEE Robotics Autom. Lett. 8(4): 2397-2404 (2023) - [j48]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. IEEE Trans. Netw. Sci. Eng. 10(2): 827-844 (2023) - [i184]Yuxiao Chen, Péter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone:
Tree-structured Policy Planning with Learned Behavior Models. CoRR abs/2301.11902 (2023) - [i183]Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone:
Learning Control-Oriented Dynamical Structure from Data. CoRR abs/2302.02529 (2023) - [i182]Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone:
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications. CoRR abs/2302.13970 (2023) - [i181]Lucas Fuentes Valenzuela, Anthony Degleris, Abbas El Gamal, Marco Pavone, Ram Rajagopal:
Dynamic locational marginal emissions via implicit differentiation. CoRR abs/2302.14282 (2023) - [i180]Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone:
Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. CoRR abs/2303.03504 (2023) - 2022
- [j47]Marco Pavone, Amin Saberi, Maximilian Schiffer, Matt Wu Tsao:
Technical Note - Online Hypergraph Matching with Delays. Oper. Res. 70(4): 2194-2212 (2022) - [j46]Maximilian Schiffer, Nils Boysen, Patrick S. Klein, Gilbert Laporte, Marco Pavone:
Optimal Picking Policies in E-Commerce Warehouses. Manag. Sci. 68(10): 7497-7517 (2022) - [j45]Abhishek Cauligi, Preston Culbertson, Edward Schmerling, Mac Schwager, Bartolomeo Stellato, Marco Pavone:
CoCo: Online Mixed-Integer Control Via Supervised Learning. IEEE Robotics Autom. Lett. 7(2): 1447-1454 (2022) - [j44]Pan Zhao, Arun Lakshmanan, Kasey A. Ackerman, Aditya Gahlawat, Marco Pavone, Naira Hovakimyan:
Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. IEEE Robotics Autom. Lett. 7(2): 5528-5535 (2022) - [j43]Mahmoud Selim, Amr Alanwar, Shreyas Kousik, Grace Xingxin Gao, Marco Pavone, Karl Henrik Johansson:
Safe Reinforcement Learning Using Black-Box Reachability Analysis. IEEE Robotics Autom. Lett. 7(4): 10665-10672 (2022) - [j42]Tony G. Chen, Abhishek Cauligi, Srinivasan A. Suresh, Marco Pavone, Mark R. Cutkosky:
Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space. IEEE Robotics Autom. Mag. 29(3): 24-33 (2022) - [j41]Joseph Lorenzetti, Andrew McClellan, Charbel Farhat, Marco Pavone:
Linear Reduced-Order Model Predictive Control. IEEE Trans. Autom. Control. 67(11): 5980-5995 (2022) - [j40]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67(12): 6521-6536 (2022) - [j39]Matthew Tsao, Kaidi Yang, Stephen Zoepf, Marco Pavone:
Trust but Verify: Cryptographic Data Privacy for Mobility Management. IEEE Trans. Control. Netw. Syst. 9(1): 50-61 (2022) - [j38]Salomón Wollenstein-Betech, Mauro Salazar, Arian Houshmand, Marco Pavone, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic. IEEE Trans. Intell. Transp. Syst. 23(8): 12263-12275 (2022) - [j37]Thomas Lew, Apoorva Sharma, James Harrison, Andrew Bylard, Marco Pavone:
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. IEEE Trans. Robotics 38(5): 2888-2907 (2022) - [c170]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. AISTATS 2022: 9166-9181 - [c169]Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone:
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. AISTATS 2022: 9334-9355 - [c168]Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. ACC 2022: 178-185 - [c167]Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. ACC 2022: 906-913 - [c166]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. AAMAS 2022: 272-280 - [c165]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. AAMAS 2022: 678-686 - [c164]Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone:
Using Spectral Submanifolds for Nonlinear Periodic Control. CDC 2022: 6548-6555 - [c163]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRL 2022: 128-137 - [c162]Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone:
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. CoRL 2022: 1959-1969 - [c161]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRL 2022: 2170-2180 - [c160]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CVPR 2022: 6447-6456 - [c159]Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone:
Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. CVPR 2022: 6563-6572 - [c158]Yuxiao Chen, Boris Ivanovic, Marco Pavone:
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. CVPR 2022: 17082-17091 - [c157]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. ECCV (5) 2022: 36-52 - [c156]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. ECCV Workshops (1) 2022: 127-142 - [c155]Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone:
Propagating State Uncertainty Through Trajectory Forecasting. ICRA 2022: 2351-2358 - [c154]Tony G. Chen, Becky Miller, Crystal Winston, Stephanie Schneider, Andrew Bylard, Marco Pavone, Mark R. Cutkosky:
ReachBot: A Small Robot with Exceptional Reach for Rough Terrain. ICRA 2022: 4517-4523 - [c153]Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone:
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS 2022: 12196-12203 - [c152]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private Location Sharing for Decentralized Routing Services. ITSC 2022: 2479-2486 - [c151]Boris Ivanovic, Marco Pavone:
Injecting Planning-Awareness into Prediction and Detection Evaluation. IV 2022: 821-828 - [c150]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. IV 2022: 1201-1210 - [c149]Xinshuo Weng, Boris Ivanovic, Marco Pavone:
MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation. IV 2022: 1218-1225 - [c148]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. KDD 2022: 2913-2923 - [c147]Adam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone:
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. L4DC 2022: 790-802 - [c146]Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone:
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. L4DC 2022: 1086-1099 - [c145]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c144]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-Efficient Safety Assurances Using Conformal Prediction. WAFR 2022: 149-169 - [i179]Karen Leung, Marco Pavone:
Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. CoRR abs/2202.01997 (2022) - [i178]Adam J. Thorpe, Thomas Lew, Meeko M. K. Oishi, Marco Pavone:
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. CoRR abs/2202.04193 (2022) - [i177]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. CoRR abs/2202.07147 (2022) - [i176]Matthew Tsao, Kaidi Yang, Karthik Gopalakrishnan, Marco Pavone:
Private and Decentralized Location Sharing for Congestion-Aware Routing. CoRR abs/2202.13305 (2022) - [i175]Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone:
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. CoRR abs/2203.03034 (2022) - [i174]Tim Salzmann, Marco Pavone, Markus Ryll:
Motron: Multimodal Probabilistic Human Motion Forecasting. CoRR abs/2203.04132 (2022) - [i173]Tim Salzmann, Elia Kaufmann, Marco Pavone, Davide Scaramuzza, Markus Ryll:
Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. CoRR abs/2203.07747 (2022) - [i172]Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone:
Online Learning for Traffic Routing under Unknown Preferences. CoRR abs/2203.17150 (2022) - [i171]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Control-oriented meta-learning. CoRR abs/2204.06716 (2022) - [i170]Mahmoud Selim, Amr Alanwar, Shreyas Kousik, Grace Xingxin Gao, Marco Pavone, Karl Henrik Johansson:
Safe Reinforcement Learning Using Black-Box Reachability Analysis. CoRR abs/2204.07417 (2022) - [i169]Robert Dyro, Edward Schmerling, Nikos Aréchiga, Marco Pavone:
Second-Order Sensitivity Analysis for Bilevel Optimization. CoRR abs/2205.02329 (2022) - [i168]Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone:
Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. CoRR abs/2205.07728 (2022) - [i167]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Sample Average Approximation for Stochastic Programming with Equality Constraints. CoRR abs/2206.09963 (2022) - [i166]Sever Topan, Karen Leung, Yuxiao Chen, Pritish Tupekar, Edward Schmerling, Jonas Nilsson, Michael Cox, Marco Pavone:
Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. CoRR abs/2206.12471 (2022) - [i165]Yuxiao Chen, Boris Ivanovic, Marco Pavone:
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. CoRR abs/2206.13387 (2022) - [i164]Gadiel Sznaier Camps, Robert Dyro, Marco Pavone, Mac Schwager:
Learning Deep SDF Maps Online for Robot Navigation and Exploration. CoRR abs/2207.10782 (2022) - [i163]Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone:
Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. CoRR abs/2207.12380 (2022) - [i162]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
Copositive programming for mixed-binary quadratic optimization via Ising solvers. CoRR abs/2207.13630 (2022) - [i161]Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. CoRR abs/2208.00094 (2022) - [i160]Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. CoRR abs/2208.12403 (2022) - [i159]John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone:
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. CoRR abs/2209.05712 (2022) - [i158]Florian Mahlknecht, John Irvin Alora, Shobhit Jain, Edward Schmerling, Riccardo Bonalli, George Haller, Marco Pavone:
Using Spectral Submanifolds for Nonlinear Periodic Control. CoRR abs/2209.06573 (2022) - [i157]Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone:
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. CoRR abs/2209.06855 (2022) - [i156]Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone:
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. CoRR abs/2209.08744 (2022) - [i155]Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Motion Planning for a Climbing Robot with Stochastic Grasps. CoRR abs/2209.10687 (2022) - [i154]Boris Ivanovic, James Harrison, Marco Pavone:
Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. CoRR abs/2209.11820 (2022) - [i153]Karen Leung, Sushant Veer, Edward Schmerling, Marco Pavone:
Learning Autonomous Vehicle Safety Concepts from Demonstrations. CoRR abs/2210.02761 (2022) - [i152]Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull:
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR abs/2210.05519 (2022) - [i151]Stephanie Newdick, Tony G. Chen, Benjamin J. Hockman, Edward Schmerling, Mark R. Cutkosky, Marco Pavone:
Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission. CoRR abs/2210.11534 (2022) - [i150]Matthew Tsao, Karthik Gopalakrishnan, Kaidi Yang, Marco Pavone:
Differentially Private Stochastic Convex Optimization for Network Routing Applications. CoRR abs/2210.14489 (2022) - [i149]Filippos Christianos, Péter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone:
Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. CoRR abs/2210.14584 (2022) - [i148]Devansh Jalota, Jessica Lazarus, Alexandre M. Bayen, Marco Pavone:
Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design. CoRR abs/2210.15907 (2022) - [i147]Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone:
Guided Conditional Diffusion for Controllable Traffic Simulation. CoRR abs/2210.17366 (2022) - [i146]Tarun Gupta, Péter Karkus, Tong Che, Danfei Xu, Marco Pavone:
Foundation Models for Semantic Novelty in Reinforcement Learning. CoRR abs/2211.04878 (2022) - [i145]Rachel Luo, Rohan Sinha, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. CoRR abs/2211.09916 (2022) - [i144]Rohan Sinha, James Harrison, Spencer M. Richards, Marco Pavone:
Adaptive Robust Model Predictive Control via Uncertainty Cancellation. CoRR abs/2212.01371 (2022) - [i143]Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Marco Pavone:
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. CoRR abs/2212.03323 (2022) - [i142]Péter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone:
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. CoRR abs/2212.06437 (2022) - [i141]Tobias Enders, James Harrison, Marco Pavone, Maximilian Schiffer:
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. CoRR abs/2212.07313 (2022) - [i140]Rohan Sinha, Apoorva Sharma, Somrita Banerjee, Thomas Lew, Rachel Luo, Spencer M. Richards, Yixiao Sun, Edward Schmerling, Marco Pavone:
A System-Level View on Out-of-Distribution Data in Robotics. CoRR abs/2212.14020 (2022) - 2021
- [j36]Sandeep Chinchali, Apoorva Sharma, James Harrison, Amine Elhafsi, Daniel Kang, Evgenya Pergament, Eyal Cidon, Sachin Katti, Marco Pavone:
Network offloading policies for cloud robotics: a learning-based approach. Auton. Robots 45(7): 997-1012 (2021) - [j35]Sumeet Singh, Spencer M. Richards, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone:
Learning stabilizable nonlinear dynamics with contraction-based regularization. Int. J. Robotics Res. 40(10-11) (2021) - [j34]Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone:
Efficient Large-Scale Multi-Drone Delivery using Transit Networks. J. Artif. Intell. Res. 70: 757-788 (2021) - [j33]Boris Ivanovic, Karen Leung, Edward Schmerling, Marco Pavone:
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. IEEE Robotics Autom. Lett. 6(1): 295-302 (2021) - [j32]Jan Schilliger, Thomas Lew, Spencer M. Richards, Severin Hänggi, Marco Pavone, Christopher Harald Onder:
Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC. IEEE Robotics Autom. Lett. 6(4): 8623-8630 (2021) - [j31]Robin A. Brown, Federico Rossi, Kiril Solovey, Matthew Tsao, Michael T. Wolf, Marco Pavone:
On Local Computation for Network-Structured Convex Optimization in Multiagent Systems. IEEE Trans. Control. Netw. Syst. 8(2): 542-554 (2021) - [j30]Alvaro Estandia, Maximilian Schiffer, Federico Rossi, Justin Luke, Emre Can Kara, Ram Rajagopal, Marco Pavone:
On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. IEEE Trans. Control. Netw. Syst. 8(3): 1163-1176 (2021) - [c143]Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone:
Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. CDC 2021: 2996-3003 - [c142]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency meets Equity in Congestion Pricing and Revenue Refunding Schemes. EAAMO 2021: 9:1-9:11 - [c141]Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. ICRA 2021: 7464-7470 - [c140]Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael T. Wolf, Marco Pavone:
Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. ICRA 2021: 9117-9123 - [c139]Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin:
Near-Optimal Multi-Robot Motion Planning with Finite Sampling. ICRA 2021: 9190-9196 - [c138]Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone:
Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. ICRA 2021: 9673-9679 - [c137]Sander Tonkens, Joseph Lorenzetti, Marco Pavone:
Soft Robot Optimal Control Via Reduced Order Finite Element Models. ICRA 2021: 12010-12016 - [c136]Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone:
Particle MPC for Uncertain and Learning-Based Control. IROS 2021: 7127-7134 - [c135]Justin Luke, Mauro Salazar, Ram Rajagopal, Marco Pavone:
Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. ITSC 2021: 3340-3347 - [c134]Kaidi Yang, Matthew W. Tsao, Xin Xu, Marco Pavone:
Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. ITSC 2021: 3570-3577 - [c133]Benoit Landry, Hongkai Dai, Marco Pavone:
SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions. L4DC 2021: 1105-1117 - [c132]Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang:
Data Sharing and Compression for Cooperative Networked Control. NeurIPS 2021: 5947-5958 - [c131]Hongkai Dai, Benoit Landry, Lujie Yang, Marco Pavone, Russ Tedrake:
Lyapunov-stable neural-network control. Robotics: Science and Systems 2021 - [c130]Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone:
Co-Design of Communication and Machine Inference for Cloud Robotics. Robotics: Science and Systems 2021 - [c129]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems. Robotics: Science and Systems 2021 - [c128]Apoorva Sharma, Navid Azizan, Marco Pavone:
Sketching curvature for efficient out-of-distribution detection for deep neural networks. UAI 2021: 1958-1967 - [c127]Karen Leung, Nikos Aréchiga, Marco Pavone:
Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. WAFR 2021: 432-449 - [i139]Andrew Bylard, Riccardo Bonalli, Marco Pavone:
Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. CoRR abs/2101.01297 (2021) - [i138]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR abs/2101.12086 (2021) - [i137]