| 2025 | ACL | LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. | Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | CVPR | Data Scaling Laws for End-to-End Autonomous Driving. | Alexander Naumann, Xunjiang Gu, Tolga Dimlioglu, Mariusz Bojarski, Alperen Degirmenci, Alexander Popov, Devansh Bisla, Marco Pavone, Urs Muller, Boris Ivanovic |
| 2025 | CVPR | Scaling Vision Pre-Training to 4K Resolution. | Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin |
| 2025 | CVPR | Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. | Zhejun Zhang, Pter Karkus, Maximilian Igl, Wenhao Ding, Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2025 | ICCV | Extrapolated Urban View Synthesis Benchmark. | Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li |
| 2025 | ICCV | Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. | Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Frank Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ICCV | Describe Anything: Detailed Localized Image and Video Captioning. | Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui |
| 2025 | ICLR | STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. | Jiawei Yang, Jiahui Huang, Boris Ivanovic, Yuxiao Chen, Yan Wang, Boyi Li, Yurong You, Apoorva Sharma, Maximilian Igl, Pter Karkus, Danfei Xu, Yue Wang, Marco Pavone |
| 2025 | ICLR | OmniRe: Omni Urban Scene Reconstruction. | 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 |
| 2025 | ICLR | Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion. | Minkyoung Cho, Yulong Cao, Jiachen Sun, Qingzhao Zhang, Marco Pavone, Jeong Joon Park, Heng Yang, Zhuoqing Mao |
| 2025 | ICLR | Language-Image Models with 3D Understanding. | Jang Hyun Cho, Boris Ivanovic, Yulong Cao, Edward Schmerling, Yue Wang, Xinshuo Weng, Boyi Li, Yurong You, Philipp Krhenbhl, Yan Wang, Marco Pavone |
| 2025 | ICLR | LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models. | Ziqi Lu, Heng Yang, Danfei Xu, Boyi Li, Boris Ivanovic, Marco Pavone, Yue Wang |
| 2025 | ICLR | Offline Hierarchical Reinforcement Learning via Inverse Optimization. | Carolin Schmidt, Daniele Gammelli, James Harrison, Marco Pavone, Filipe Rodrigues |
| 2025 | ICRA | System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles. | Kaustav Chakraborty, Zeyuan Feng, Sushant Veer, Apoorva Sharma, Boris Ivanovic, Marco Pavone, Somil Bansal |
| 2025 | ICRA | Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent. | Yuxiao Chen, Sander Tonkens, Marco Pavone |
| 2025 | ICRA | LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. | Christopher Diehl, Pter Karkus, Sushant Veer, Marco Pavone, Torsten Bertram |
| 2025 | ICRA | Realistic Extreme Behavior Generation for Improved AV Testing. | Robert Dyro, Matthew Foutter, Ruolin Li, Luigi Di Lillo, Edward Schmerling, Xilin Zhou, Marco Pavone |
| 2025 | ICRA | Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-Tuning. | Zhiyu Huang, Xinshuo Weng, Maximilian Igl, Yuxiao Chen, Yulong Cao, Boris Ivanovic, Marco Pavone, Chen Lv |
| 2025 | ICRA | DreamDrive: Generative 4D Scene Modeling from Street View Images. | Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang |
| 2025 | IROS | Safe, Task-Consistent Manipulation with Operational Space Control Barrier Functions. | Daniel Morton, Marco Pavone |
| 2025 | ICRA | Online Aggregation of Trajectory Predictors. | Alex Tong, Apoorva Sharma, Sushant Veer, Marco Pavone, Heng Yang |
| 2025 | NAACL | LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. | Di Zhang, Jianbo Wu, Jingdi Lei, Tong Che, Jiatong Li, Tong Xie, Xiaoshui Huang, Shufei Zhang, Marco Pavone, Yuqiang Li, Wanli Ouyang, Dongzhan Zhou |
| 2024 | CoRL | Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. | Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg |
| 2024 | CoRL | Q-SLAM: Quadric Representations for Monocular SLAM. | Chensheng Peng, Chenfeng Xu, Yue Wang, Mingyu Ding, Heng Yang, Masayoshi Tomizuka, Kurt Keutzer, Marco Pavone, Wei Zhan |
| 2024 | CoRL | Promptable Closed-loop Traffic Simulation. | Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krhenbhl, Marco Pavone |
| 2024 | CoRL | Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction. | Jakob Thumm, Christopher Agia, Marco Pavone, Matthias Althoff |
| 2024 | CoRL | Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. | Ran Tian, Boyi Li, Xinshuo Weng, Yuxiao Chen, Edward Schmerling, Yue Wang, Boris Ivanovic, Marco Pavone |
| 2024 | CPAIOR | Accelerating Continuous Variable Coherent Ising Machines via Momentum. | Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira |
| 2024 | CVPR | Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. | Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic |
| 2024 | CVPR | Driving Everywhere with Large Language Model Policy Adaptation. | Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone |
| 2024 | CVPR | PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving. | Xinshuo Weng, Boris Ivanovic, Yan Wang, Yue Wang, Marco Pavone |
| 2024 | ECCV | RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. | Wenhao Ding, Yulong Cao, Ding Zhao, Chaowei Xiao, Marco Pavone |
| 2024 | ECCV | Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. | Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic |
| 2024 | ECCV | Dolphins: Multimodal Language Model for Driving. | Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao |
| 2024 | ICINCO | RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. | Manuel Bianchi Bazzi, Asad Ali Shahid, Christopher Agia, John Irvin Alora, Marco Forgione, Dario Piga, Francesco Braghin, Marco Pavone, Loris Roveda |
| 2024 | ICLR | EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. | Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang |
| 2024 | ICML | Parallelized Spatiotemporal Slot Binding for Videos. | Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che |
| 2024 | ICRA | Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. | Roberto Bigazzi, Lorenzo Baraldi, Shreyas Kousik, Rita Cucchiara, Marco Pavone |
| 2024 | ICRA | Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. | Yulong Cao, Boris Ivanovic, Chaowei Xiao, Marco Pavone |
| 2024 | ICRA | DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. | Zhiyu Huang, Pter Karkus, Boris Ivanovic, Yuxiao Chen, Marco Pavone, Chen Lv |
| 2024 | ICRA | Online Distribution Shift Detection via Recency Prediction. | Rachel Luo, Rohan Sinha, Yixiao Sun, Ali Hindy, Shengjia Zhao, Silvio Savarese, Edward Schmerling, Marco Pavone |
| 2024 | ICRA | Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. | Katie Z. Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone |
| 2024 | ICRA | ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. | Luca Paparusso, Shreyas Kousik, Edward Schmerling, Francesco Braghin, Marco Pavone |
| 2024 | IROS | Task-Driven Manipulation with Reconfigurable Parallel Robots. | Daniel Morton, Mark R. Cutkosky, Marco Pavone |
| 2024 | IROS | Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). | Luis A. Pabon, Johannes Khler, John Irvin Alora, Patrick Benito Eberhard, Andrea Carron, Melanie N. Zeilinger, Marco Pavone |
| 2023 | AISTATS | Online Learning for Traffic Routing under Unknown Preferences. | Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan, Ramesh Johari, Marco Pavone |
| 2023 | CoRL | Language Conditioned Traffic Generation. | Shuhan Tan, Boris Ivanovic, Xinshuo Weng, Marco Pavone, Philipp Krhenbhl |
| 2023 | CoRL | Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. | Sushant Veer, Apoorva Sharma, Marco Pavone |
| 2023 | CoRL | Language-Guided Traffic Simulation via Scene-Level Diffusion. | Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray |
| 2023 | CVPR | Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation. | Heng Yang, Marco Pavone |
| 2023 | CVPR | FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization. | Jiawei Yang, Marco Pavone, Yue Wang |
| 2023 | ICLR | Robust and Controllable Object-Centric Learning through Energy-based Models. | Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull |
| 2023 | ICML | Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. | Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone |
| 2023 | ICML | Graph Reinforcement Learning for Network Control via Bi-Level Optimization. | Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira |
| 2023 | ICML | Learning Control-Oriented Dynamical Structure from Data. | Spencer M. Richards, Jean-Jacques E. Slotine, Navid Azizan, Marco Pavone |
| 2023 | ICRA | Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. | John Irvin Alora, Mattia Cenedese, Edward Schmerling, George Haller, Marco Pavone |
| 2023 | ICRA | Tree-structured Policy Planning with Learned Behavior Models. | Yuxiao Chen, Pter Karkus, Boris Ivanovic, Xinshuo Weng, Marco Pavone |
| 2023 | ICRA | Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. | Filippos Christianos, Pter Karkus, Boris Ivanovic, Stefano V. Albrecht, Marco Pavone |
| 2023 | ICRA | Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. | Ryan K. Cosner, Yuxiao Chen, Karen Leung, Marco Pavone |
| 2023 | ICRA | Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. | Boris Ivanovic, James Harrison, Marco Pavone |
| 2023 | ICRA | Motion Planning for a Climbing Robot with Stochastic Grasps. | Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark R. Cutkosky, Marco Pavone |
| 2023 | IROS | Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. | Kai-Chieh Hsu, Karen Leung, Yuxiao Chen, Jaime F. Fisac, Marco Pavone |
| 2023 | ICRA | Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. | Sushant Veer, Karen Leung, Ryan K. Cosner, Yuxiao Chen, Pter Karkus, Marco Pavone |
| 2023 | ICRA | BITS: Bi-level Imitation for Traffic Simulation. | Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2023 | ICRA | Guided Conditional Diffusion for Controllable Traffic Simulation. | Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone |
| 2022 | AISTATS | A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. | Robin A. Brown, Edward Schmerling, Navid Azizan, Marco Pavone |
| 2022 | AISTATS | Second-Order Sensitivity Analysis for Bilevel Optimization. | Robert Dyro, Edward Schmerling, Nikos Archiga, Marco Pavone |
| 2022 | CoRL | Robust Trajectory Prediction against Adversarial Attacks. | Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone |
| 2022 | CoRL | Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. | Alec Farid, Sushant Veer, Boris Ivanovic, Karen Leung, Marco Pavone |
| 2022 | CoRL | DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. | Pter Karkus, Boris Ivanovic, Shie Mannor, Marco Pavone |
| 2022 | CVPR | ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. | Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2022 | CVPR | Motron: Multimodal Probabilistic Human Motion Forecasting. | Tim Salzmann, Marco Pavone, Markus Ryll |
| 2022 | CVPR | Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. | Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone |
| 2022 | ECCV | Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. | Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone |
| 2022 | ECCV | AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. | Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone |
| 2022 | ICRA | ReachBot: A Small Robot with Exceptional Reach for Rough Terrain. | Tony G. Chen, Becky Miller, Crystal E. Winston, Stephanie Schneider, Andrew Bylard, Marco Pavone, Mark R. Cutkosky |
| 2022 | ICRA | Propagating State Uncertainty Through Trajectory Forecasting. | Boris Ivanovic, Yifeng Lin, Shubham Shrivastava, Punarjay Chakravarty, Marco Pavone |
| 2022 | IROS | Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. | Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone |
| 2022 | ISRR | Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. | Albert Wu, Thomas Lew, Kiril Solovey, Edward Schmerling, Marco Pavone |
| 2022 | KDD | Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. | Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone |
| 2022 | UAI | Local calibration: metrics and recalibration. | Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone |
| 2022 | WAFR | Sample-Efficient Safety Assurances Using Conformal Prediction. | Rachel Luo, Shengjia Zhao, Jonathan Kuck, Boris Ivanovic, Silvio Savarese, Edward Schmerling, Marco Pavone |
| 2021 | ICRA | Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. | Andrew Bylard, Riccardo Bonalli, Marco Pavone |
| 2021 | ICRA | Near-Optimal Multi-Robot Motion Planning with Finite Sampling. | Dror Dayan, Kiril Solovey, Marco Pavone, Dan Halperin |
| 2021 | IROS | Particle MPC for Uncertain and Learning-Based Control. | Robert Dyro, James Harrison, Apoorva Sharma, Marco Pavone |
| 2021 | ICRA | Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. | Simon Schaefer, Karen Leung, Boris Ivanovic, Marco Pavone |
| 2021 | ICRA | Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. | Kiril Solovey, Saptarshi Bandyopadhyay, Federico Rossi, Michael T. Wolf, Marco Pavone |
| 2021 | ICRA | Soft Robot Optimal Control Via Reduced Order Finite Element Models. | Sander Tonkens, Joseph Lorenzetti, Marco Pavone |
| 2021 | UAI | Sketching curvature for efficient out-of-distribution detection for deep neural networks. | Apoorva Sharma, Navid Azizan, Marco Pavone |
| 2021 | WAFR | Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. | Karen Leung, Nikos Archiga, Marco Pavone |
| 2020 | CoRL | MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. | Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone |
| 2020 | CoRL | Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling. | Thomas Lew, Marco Pavone |
| 2020 | ECCV | Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data. | Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone |
| 2020 | ICRA | Efficient Large-Scale Multi-Drone Delivery Using Transit Networks. | Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone |
| 2020 | ICRA | Map-Predictive Motion Planning in Unknown Environments. | Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone |
| 2020 | IROS | Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. | Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager |
| 2020 | IROS | Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions. | Xinrui Wang, Karen Leung, Marco Pavone |
| 2020 | ICRA | Revisiting the Asymptotic Optimality of RRT. | Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone |
| 2020 | ICRA | Sample Complexity of Probabilistic Roadmaps via ε-nets. | Matthew Tsao, Kiril Solovey, Marco Pavone |
| 2019 | AISTATS | Risk-Sensitive Generative Adversarial Imitation Learning. | Jonathan Lacotte, Mohammad Ghavamzadeh, Yinlam Chow, Marco Pavone |
| 2019 | CHI | Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality. | Parastoo Abtahi, Benoit Landry, Jackie (Junrui) Yang, Marco Pavone, Sean Follmer, James A. Landay |
| 2019 | ICCV | The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs. | Boris Ivanovic, Marco Pavone |
| 2019 | ICRA | GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. | Riccardo Bonalli, Abhishek Cauligi, Andrew Bylard, Marco Pavone |
| 2019 | ICRA | BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. | Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone |
| 2019 | ICRA | Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems. | Matthew Tsao, Dejan Milojevic, Claudio Ruch, Mauro Salazar, Emilio Frazzoli, Marco Pavone |
| 2019 | ISRR | Bilevel Optimization for Planning Through Contact: A Semidirect Method. | Benoit Landry, Joseph Lorenzetti, Zachary Manchester, Marco Pavone |
| 2018 | AAAI | Cellular Network Traffic Scheduling With Deep Reinforcement Learning. | Sandeep Chinchali, Pan Hu, Tianshu Chu, Manu Sharma, Manu Bansal, Rakesh Misra, Marco Pavone, Sachin Katti |
| 2018 | ICRA | Robust Visual Localization for Hopping Rovers on Small Bodies. | Sebastiano Chiodini, Robert G. Reid, Benjamin J. Hockman, Issa A. D. Nesnas, Stefano Debei, Marco Pavone |
| 2018 | ICRA | Learning Sampling Distributions for Robot Motion Planning. | Brian Ichter, James Harrison, Marco Pavone |
| 2018 | ICRA | Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. | Ramn Iglesias, Federico Rossi, Kevin Wang, David Hallac, Jure Leskovec, Marco Pavone |
| 2018 | IROS | Generative Modeling of Multimodal Multi-Human Behavior. | Boris Ivanovic, Edward Schmerling, Karen Leung, Marco Pavone |
| 2018 | IROS | Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming. | Benoit Landry, Mo Chen, Scott Hemley, Marco Pavone |
| 2018 | ICRA | Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. | Edward Schmerling, Karen Leung, Wolf Vollprecht, Marco Pavone |
| 2018 | ICRA | Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication. | Zijian Wang, Sumeet Singh, Marco Pavone, Mac Schwager |
| 2018 | WAFR | Signal Temporal Logic Meets Reachability: Connections and Applications. | Mo Chen, Qizhan Tam, Scott C. Livingston, Marco Pavone |
| 2018 | WAFR | Meta-learning Priors for Efficient Online Bayesian Regression. | James Harrison, Apoorva Sharma, Marco Pavone |
| 2018 | WAFR | Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach. | Sumeet Singh, Mo Chen, Sylvia L. Herbert, Claire J. Tomlin, Marco Pavone |
| 2018 | WAFR | Learning Stabilizable Dynamical Systems via Control Contraction Metrics. | Sumeet Singh, Vikas Sindhwani, Jean-Jacques E. Slotine, Marco Pavone |
| 2017 | ICRA | Force and moment constraints of a curved surface gripper and wrist for assistive free flyers. | Matthew A. Estrada, Hao Jiang, Bessie Noll, Elliot Wright Hawkes, Marco Pavone, Mark R. Cutkosky |
| 2017 | ICRA | Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. | Brian Ichter, Edward Schmerling, Ali-akbar Agha-mohammadi, Marco Pavone |
| 2017 | IROS | The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal. | Stefan Jorgensen, Robert H. Chen, Mark B. Milam, Marco Pavone |
| 2017 | ICRA | Robust online motion planning via contraction theory and convex optimization. | Sumeet Singh, Anirudha Majumdar, Jean-Jacques E. Slotine, Marco Pavone |
| 2017 | ISRR | Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models. | Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone |
| 2017 | ISRR | AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. | James Harrison, Animesh Garg, Boris Ivanovic, Yuke Zhu, Silvio Savarese, Li Fei-Fei, Marco Pavone |
| 2017 | ISRR | Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies. | Benjamin J. Hockman, Marco Pavone |
| 2017 | ISRR | Perception-Aware Motion Planning via Multiobjective Search on GPUs. | Brian Ichter, Benoit Landry, Edward Schmerling, Marco Pavone |
| 2017 | ISRR | How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. | Anirudha Majumdar, Marco Pavone |
| 2016 | ICRA | Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk. | Stefano Carpin, Yinlam Chow, Marco Pavone |
| 2016 | ICRA | Simultaneous model identification and task satisfaction in the presence of temporal logic constraints. | Sandeep P. Chinchali, Scott C. Livingston, Marco Pavone, Joel W. Burdick |
| 2016 | ICRA | Free-flyer acquisition of spinning objects with gecko-inspired adhesives. | Matthew A. Estrada, Benjamin J. Hockman, Andrew Bylard, Elliot Wright Hawkes, Mark R. Cutkosky, Marco Pavone |
| 2016 | ICRA | Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. | Zachary N. Sunberg, Mykel J. Kochenderfer, Marco Pavone |
| 2016 | ICRA | Model predictive control of autonomous mobility-on-demand systems. | Rick Zhang, Federico Rossi, Marco Pavone |
| 2016 | WAFR | A BCMP Network Approach to Modeling and Controlling Autonomous Mobility-on-Demand Systems. | Ramn Iglesias, Federico Rossi, Rick Zhang, Marco Pavone |
| 2015 | ICRA | Toward a real-time framework for solving the kinodynamic motion planning problem. | Ross E. Allen, Marco Pavone |
| 2015 | IROS | An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. | Joseph A. Starek, Javier V. Gmez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone |
| 2015 | ICRA | Optimal sampling-based motion planning under differential constraints: The driftless case. | Edward Schmerling, Lucas Janson, Marco Pavone |
| 2015 | ICRA | Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. | Sumeet Singh, Edward Schmerling, Marco Pavone |
| 2015 | ISRR | Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. | Lucas Janson, Brian Ichter, Marco Pavone |
| 2015 | ISRR | Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. | Lucas Janson, Edward Schmerling, Marco Pavone |
| 2014 | ICRA | A dynamical characterization of internally-actuated microgravity mobility systems. | Adam W. Koenig, Marco Pavone, Julie C. Castillo-Rogez, Issa A. D. Nesnas |
| 2014 | IROS | A machine learning approach for real-time reachability analysis. | Ross E. Allen, Ashley A. Clark, Joseph A. Starek, Marco Pavone |
| 2014 | IROS | Rapid multirobot deployment with time constraints. | Stefano Carpin, Marco Pavone, Brian M. Sadler |
| 2013 | ICRA | Internally-actuated rovers for all-access surface mobility: Theory and experimentation. | Ross E. Allen, Marco Pavone, Christopher McQuin, Issa A. D. Nesnas, Julie C. Castillo-Rogez, Tam-Nguyen Nguyen, Jeffrey A. Hoffman |
| 2013 | ISRR | Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions. | Lucas Janson, Marco Pavone |
| 2010 | ICRA | Dynamic vehicle routing with stochastic time constraints. | Marco Pavone, Emilio Frazzoli |
| 2009 | ICRA | Equitable partitioning policies for robotic networks. | Marco Pavone, Alessandro Arsie, Emilio Frazzoli, Francesco Bullo |
| 2007 | ACC | Decentralized policies for geometric pattern formation. | Marco Pavone, Emilio Frazzoli |
| 2006 | ISCAS | Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot. | Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patan, Marco Pavone |
| 2006 | ISCAS | Realization of a CNN-driven cockroach-inspired robot. | Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patan, Marco Pavone |
| 2005 | ISCAS | Climbing obstacles via bio-inspired CNN-CPG and adaptive attitude control. | Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patan, Marco Pavone |