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ORCIDMarco Pavone 0001
Person information
- affiliation: NVIDIA Research, Department of autonomous vehicle research
- affiliation: Stanford University, CA, 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
- 2024
[j76]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part III. Computer 57(3): 22-24 (2024)- [j75]Stefan Jorgensen, Marco Pavone:
The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal. Int. J. Robotics Res. 43(1): 34-52 (2024) - [j74]Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone:
Sample-efficient safety assurances using conformal prediction. Int. J. Robotics Res. 43(9): 1409-1424 (2024) - [j73]John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander:
Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1513-1529 (2024) - [j72]Yuxiao Chen, Sushant Veer, Péter Karkus, Marco Pavone:
Interactive Joint Planning for Autonomous Vehicles. IEEE Robotics Autom. Lett. 9(2): 987-994 (2024) - [j71]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Risk-Averse Trajectory Optimization via Sample Average Approximation. IEEE Robotics Autom. Lett. 9(2): 1500-1507 (2024) - [j70]Loris Roveda, Marco Pavone:
Gradient Descent-Based Task-Orientation Robot Control Enhanced With Gaussian Process Predictions. IEEE Robotics Autom. Lett. 9(9): 8035-8042 (2024) - [j69]Davide Celestini, Daniele Gammelli, Tommaso Guffanti, Simone D'Amico, Elisa Capello, Marco Pavone:
Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling. IEEE Robotics Autom. Lett. 9(11): 9820-9827 (2024) - [j68]Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as manipulation with ReachBot. Sci. Robotics 9(89) (2024) - [j67]Robin A. Brown, David Esteban Bernal Neira, Davide Venturelli, Marco Pavone:
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. SIAM J. Optim. 34(2): 1455-1489 (2024) - [j66]Thomas Lew, Riccardo Bonalli, Marco Pavone:
Sample Average Approximation for Stochastic Programming with Equality Constraints. SIAM J. Optim. 34(4): 3506-3533 (2024) - [j65]Devansh Jalota, Kiril Solovey, Karthik Gopalakrishnan, Stephen Zoepf, Hamsa Balakrishnan, Marco Pavone:
When Efficiency Meets Equity in Congestion Pricing and Revenue Refunding Schemes. IEEE Trans. Control. Netw. Syst. 11(2): 1127-1138 (2024) - [j64]Nicolas Lanzetti, Maximilian Schiffer, Michael Ostrovsky, Marco Pavone:
On the Interplay Between Self-Driving Cars and Public Transportation. IEEE Trans. Control. Netw. Syst. 11(3): 1478-1490 (2024) - [c225]Fan-Yun Sun, Jonathan Tremblay, Valts Blukis, Kevin Lin, Danfei Xu, Boris Ivanovic, Péter Karkus, Stan Birchfield, Dieter Fox, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Marco Pavone, Nick Haber:
Partial-View Object View Synthesis via Filtering Inversion. 3DV 2024: 453-463 - [c224]Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CPAIOR (1) 2024: 109-126 - [c223]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CVPR 2024: 14521-14530 - [c222]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CVPR 2024: 14948-14957 - [c221]Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone:
PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving. CVPR 2024: 15449-15458 - [c220]Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone:
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. ECCV (62) 2024: 93-110 - [c219]Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao:
Dolphins: Multimodal Language Model for Driving. ECCV (45) 2024: 403-420 - [c218]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. ECCV (81) 2024: 412-428 - [c217]Aaryan Singhal, Daniele Gammelli, Justin Luke, Karthik Gopalakrishnan, Dominik Helmreich, Marco Pavone:
Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning. ECC 2024: 1407-1414 - [c216]Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda:
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. ICINCO (2) 2024: 149-156 - [c215]Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang:
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. ICLR 2024 - [c214]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Slot Binding for Videos. ICML 2024 - [c213]Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone:
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. ICRA 2024: 4029-4035 - [c212]Zhiyu Huang, Péter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv:
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. ICRA 2024: 6806-6812 - [c211]Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone:
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. ICRA 2024: 7686-7693 - [c210]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. ICRA 2024: 9285-9292 - [c209]Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone:
Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. ICRA 2024: 14428-14434 - [c208]Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone:
Online Distribution Shift Detection via Recency Prediction. ICRA 2024: 16251-16263 - [c207]Daniel Morton, Mark R. Cutkosky, Marco Pavone:
Task-Driven Manipulation with Reconfigurable Parallel Robots. IROS 2024: 9924-9930 - [c206]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). IROS 2024: 12840-12847 - [c205]Tim Salzmann, Jon Arrizabalaga, Joel Andersson, Marco Pavone, Markus Ryll:
Learning for CasADi: Data-driven models in numerical optimization. L4DC 2024: 541-553 - [c204]Anthony Degleris, Lucas Fuentes Valenzuela, Ram Rajagopal, Marco Pavone, Abbas El Gamal:
Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation. SmartGridComm 2024: 458-464 - [i275]Christopher Agia, Guillem Casadesus Vila, Saptarshi Bandyopadhyay, David S. Bayard, Kar-Ming Cheung, Charles H. Lee, Eric Wood, Ian Aenishanslin, Steven Ardito, Lorraine M. Fesq, Marco Pavone, Issa A. D. Nesnas:
Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. CoRR abs/2401.11371 (2024) - [i274]Robin A. Brown, Davide Venturelli, Marco Pavone, David Esteban Bernal Neira:
Accelerating Continuous Variable Coherent Ising Machines via Momentum. CoRR abs/2401.12135 (2024) - [i273]Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone:
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. CoRR abs/2402.02769 (2024) - [i272]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CoRR abs/2402.05932 (2024) - [i271]David Esteban Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli:
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. CoRR abs/2402.10255 (2024) - [i270]Devansh Jalota, Michael Ostrovsky, Marco Pavone:
When Simple is Near-Optimal in Security Games. CoRR abs/2402.11209 (2024) - [i269]Devansh Jalota, Matthew Tsao, Marco Pavone:
Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs. CoRR abs/2402.16162 (2024) - [i268]Somrita Banerjee, Edward Balaban, Mark Shirley, Kevin Bradner, Marco Pavone:
Contingency Planning Using Bi-level Markov Decision Processes for Space Missions. CoRR abs/2402.16342 (2024) - [i267]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i266]Lucas Fuentes Valenzuela, Robin A. Brown, Marco Pavone:
Decentralized Implicit Differentiation. CoRR abs/2403.01260 (2024) - [i265]Damien Berriaud, Ezzat Elokda, Devansh Jalota, Emilio Frazzoli, Marco Pavone, Florian Dörfler:
To Spend or to Gain: Online Learning in Repeated Karma Auctions. CoRR abs/2403.04057 (2024) - [i264]Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone:
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. CoRR abs/2403.07076 (2024) - [i263]Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan:
Q-SLAM: Quadric Representations for Monocular SLAM. CoRR abs/2403.08125 (2024) - [i262]Daniel Morton, Mark R. Cutkosky, Marco Pavone:
Task-Driven Manipulation with Reconfigurable Parallel Robots. CoRR abs/2403.10768 (2024) - [i261]Chih-Yuan Chiu, Devansh Jalota, Marco Pavone:
Credit vs. Discount-Based Congestion Pricing: A Comparison Study. CoRR abs/2403.13923 (2024) - [i260]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. CoRR abs/2403.16439 (2024) - [i259]Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang:
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR abs/2403.20309 (2024) - [i258]Luis A. Pabon, Johannes Köhler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone:
Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). CoRR abs/2404.01550 (2024) - [i257]Asad Ali Shahid, Yashraj S. Narang, Vincenzo Petrone, Enrico Ferrentino, Ankur Handa, Dieter Fox, Marco Pavone, Loris Roveda:
Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation. CoRR abs/2404.03336 (2024) - [i256]Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krähenbühl, Yan Wang, Marco Pavone:
Language-Image Models with 3D Understanding. CoRR abs/2405.03685 (2024) - [i255]Jay Patrikar, Sushant Veer, Apoorva Sharma, Marco Pavone, Sebastian A. Scherer:
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. CoRR abs/2405.11139 (2024) - [i254]Tony G. Chen, Julia Di, Stephanie Newdick, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog. CoRR abs/2405.15005 (2024) - [i253]Xiangyu Chen, Zhenzhen Liu, Katie Z. Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark E. Campbell, Bharath Hariharan, Kilian Q. Weinberger:
DiffuBox: Refining 3D Object Detection with Point Diffusion. CoRR abs/2405.16034 (2024) - [i252]Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, José M. Álvarez:
Memorize What Matters: Emergent Scene Decomposition from Multitraverse. CoRR abs/2405.17187 (2024) - [i251]Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone:
ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. CoRR abs/2406.01814 (2024) - [i250]Zhiwen Fan, Pu Wang, Yang Zhao, Yibo Zhao, Boris Ivanovic, Zhangyang Wang, Marco Pavone, Hao (Frank) Yang:
Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. CoRR abs/2406.10789 (2024) - [i249]Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven L. Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Péter Karkus:
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. CoRR abs/2406.12095 (2024) - [i248]Julia Di, Sara Cuevas-Quinones, Stephanie Newdick, Tony G. Chen, Marco Pavone, Mathieu G. A. Lapôtre, Mark R. Cutkosky:
Martian Exploration of Lava Tubes (MELT) with ReachBot: Scientific Investigation and Concept of Operations. CoRR abs/2406.13857 (2024) - [i247]Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta:
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. CoRR abs/2406.15349 (2024) - [i246]Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone:
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. CoRR abs/2407.00959 (2024) - [i245]Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu G. A. Lapôtre, Marco Pavone, Mark R. Cutkosky:
Locomotion as Manipulation with ReachBot. CoRR abs/2407.00973 (2024) - [i244]Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic:
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. CoRR abs/2407.06683 (2024) - [i243]Rohan Sinha, Amine Elhafsi, Christopher Agia, Matthew Foutter, Edward Schmerling, Marco Pavone:
Real-Time Anomaly Detection and Reactive Planning with Large Language Models. CoRR abs/2407.08735 (2024) - [i242]Yunhao Fang, Ligeng Zhu, Yao Lu, Yan Wang, Pavlo Molchanov, Jang Hyun Cho, Marco Pavone, Song Han, Hongxu Yin:
VILA2: VILA Augmented VILA. CoRR abs/2407.17453 (2024) - [i241]Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone:
Wolf: Captioning Everything with a World Summarization Framework. CoRR abs/2407.18908 (2024) - [i240]Ali Hindy, Rachel Luo, Somrita Banerjee, Jonathan Kuck, Edward Schmerling, Marco Pavone:
Diagnostic Runtime Monitoring with Martingales. CoRR abs/2407.21748 (2024) - [i239]Matthew Foutter, Praneet Bhoj, Rohan Sinha, Amine Elhafsi, Somrita Banerjee, Christopher Agia, Justin Kruger, Tommaso Guffanti, Daniele Gammelli, Simone D'Amico, Marco Pavone:
Adapting a Foundation Model for Space-based Tasks. CoRR abs/2408.05924 (2024) - [i238]Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff:
Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction. CoRR abs/2408.06105 (2024) - [i237]Anthony Degleris, Lucas Fuentes Valenzuela, Ram Rajagopal, Marco Pavone, Abbas El Gamal:
Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation. CoRR abs/2408.10620 (2024) - [i236]Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang:
OmniRe: Omni Urban Scene Reconstruction. CoRR abs/2408.16760 (2024) - [i235]Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, Marco Pavone:
Promptable Closed-loop Traffic Simulation. CoRR abs/2409.05863 (2024) - [i234]Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone:
Realistic Extreme Behavior Generation for Improved AV Testing. CoRR abs/2409.10669 (2024) - [i233]Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda:
RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. CoRR abs/2409.11815 (2024) - [i232]Luigi Di Lillo, Andrea Triscari, Xilin Zhou, Robert Dyro, Ruolin Li, Marco Pavone:
Performance assessment of ADAS in a representative subset of critical traffic situations. CoRR abs/2409.16942 (2024) - [i231]Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. CoRR abs/2410.02884 (2024) - [i230]Christopher Agia, Rohan Sinha, Jingyun Yang, Zi-ang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg:
Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. CoRR abs/2410.04640 (2024) - [i229]Zhiyu Huang, Xinshuo Weng, Maximilian Igl, Yuxiao Chen, Yulong Cao, Boris Ivanovic, Marco Pavone, Chen Lv:
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning. CoRR abs/2410.05582 (2024) - [i228]Yuji Takubo, Tommaso Guffanti, Daniele Gammelli, Marco Pavone, Simone D'Amico:
Towards Robust Spacecraft Trajectory Optimization via Transformers. CoRR abs/2410.05585 (2024) - [i227]Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues:
Offline Hierarchical Reinforcement Learning via Inverse Optimization. CoRR abs/2410.07933 (2024) - [i226]Christopher Diehl, Péter Karkus, Sushant Veer, Marco Pavone, Torsten Bertram:
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. CoRR abs/2410.09681 (2024) - [i225]Davide Celestini, Amirhossein Afsharrad, Daniele Gammelli, Tommaso Guffanti, Gioele Zardini, Sanjay Lall, Elisa Capello, Simone D'Amico, Marco Pavone:
Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers. CoRR abs/2410.11723 (2024) - [i224]Sampada Deglurkar, Haotian Shen, Anish Muthali, Marco Pavone, Dragos D. Margineantu, Péter Karkus, Boris Ivanovic, Claire J. Tomlin:
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. CoRR abs/2410.12019 (2024) - [i223]Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Z. Morley Mao:
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion. CoRR abs/2410.12592 (2024) - [i222]Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang:
Large Spatial Model: End-to-end Unposed Images to Semantic 3D. CoRR abs/2410.18956 (2024) - [i221]Davide Celestini, Daniele Gammelli, Tommaso Guffanti, Simone D'Amico, Elisa Capello, Marco Pavone:
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling. CoRR abs/2410.23916 (2024) - [i220]Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Péter Karkus:
Learning Multiple Initial Solutions to Optimization Problems. CoRR abs/2411.02158 (2024) - [i219]Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang:
Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data. CoRR abs/2411.15657 (2024) - [i218]Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li:
Extrapolated Urban View Synthesis Benchmark. CoRR abs/2412.05256 (2024) - [i217]Zhejun Zhang, Péter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CoRR abs/2412.05334 (2024) - 2023
- [j63]Devansh Jalota, Kiril Solovey, Matthew Tsao, Stephen Zoepf, Marco Pavone:
Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. Auton. Agents Multi Agent Syst. 37(2): 32 (2023) - [j62]Manabu Nakanoya, Sai Shankar Narasimhan, Sharachchandra Bhat, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Sandeep Chinchali, Marco Pavone:
Co-design of communication and machine inference for cloud robotics. Auton. Robots 47(5): 579-594 (2023) - [j61]Amine Elhafsi, Rohan Sinha, Christopher Agia, Edward Schmerling, Issa A. D. Nesnas, Marco Pavone:
Semantic anomaly detection with large language models. Auton. Robots 47(8): 1035-1055 (2023) - [j60]Kevin Lin, Christopher Agia, Toki Migimatsu, Marco Pavone, Jeannette Bohg:
Text2Motion: from natural language instructions to feasible plans. Auton. Robots 47(8): 1345-1365 (2023) - [j59]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part 1. Computer 56(2): 14-18 (2023) - [j58]Riccardo Mariani, Francesca Rossi, Rita Cucchiara, Marco Pavone, Barnaby Simkin, Ansgar Koene, Jochen Papenbrock:
Trustworthy AI - Part II. Computer 56(5): 13-16 (2023) - [j57]Devansh Jalota, Marco Pavone, Qi Qi, Yinyu Ye:
Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms. Games Econ. Behav. 141: 223-260 (2023) - [j56]Karen Leung, Nikos Aréchiga, Marco Pavone:
Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods. Int. J. Robotics Res. 42(6): 356-370 (2023) - [j55]Sumeet Singh, Benoit Landry, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone:
Robust feedback motion planning via contraction theory. Int. J. Robotics Res. 42(9): 655-688 (2023) - [j54]Spencer M. Richards, Navid Azizan, Jean-Jacques E. Slotine, Marco Pavone:
Control-oriented meta-learning. Int. J. Robotics Res. 42(10): 777-797 (2023) - [j53]Devansh Jalota, Dario Paccagnan, Maximilian Schiffer, Marco Pavone:
Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. INFORMS J. Comput. 35(3): 560-577 (2023) - [j52]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) - [j51]