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Andrea Censi
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Publications
- 2023
- [j16]Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. IEEE Robotics Autom. Lett. 8(4): 2293-2300 (2023) - [j15]Abolfazl Lavaei, Luigi Di Lillo, Andrea Censi, Emilio Frazzoli:
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach. IEEE Trans. Control. Netw. Syst. 10(1): 407-418 (2023) - [j14]Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta:
A Learning-Based Nonlinear Model Predictive Controller for a Real Go-Kart Based on Black-Box Dynamics Modeling Through Gaussian Processes. IEEE Trans. Control. Syst. Technol. 31(5): 2055-2065 (2023) - [j13]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) - [c60]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, Saverio Bolognani, Emilio Frazzoli:
A Dynamic Population Game Model of Non-Monetary Bottleneck Congestion Management Under Elastic Demand Using Karma. CDC 2023: 120-125 - [c59]Alessandro Zanardi, Pietro Zullo, Andrea Censi, Emilio Frazzoli:
Factorization of Multi-Agent Sampling-Based Motion Planning. CDC 2023: 8108-8115 - [c58]Luca Sandel, Gioele Zardini, Sofija Mitrova, Tanya Thekemuriyil, Renato Minamisawa, Munaf Rahimo, Andrea Censi, Emilio Frazzoli, Silvia Mastellone:
Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control. ITSC 2023: 2226-2232 - [c57]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli:
Karma Priority lanes for fair and efficient bottleneck congestion management. MED 2023: 458-463 - [i25]Alessandro Zanardi, Pietro Zullo, Andrea Censi, Emilio Frazzoli:
Factorization of Multi-Agent Sampling-Based Motion Planning. CoRR abs/2304.00342 (2023) - [i24]Enrico Picotti, Enrico Mion, Alberto Dalla Libera, Josip Pavlovic, Andrea Censi, Emilio Frazzoli, Alessandro Beghi, Mattia Bruschetta:
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes. CoRR abs/2305.17949 (2023) - [i23]Alessandro Zanardi, Andrea Censi, Margherita Atzei, Luigi Di Lillo, Emilio Frazzoli:
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness. CoRR abs/2308.01050 (2023) - 2022
- [j11]Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli:
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics. IEEE Robotics Autom. Lett. 7(2): 1292-1299 (2022) - [c56]Gioele Zardini, Zelio Suter, Andrea Censi, Emilio Frazzoli:
Task-driven Modular Co-design of Vehicle Control Systems. CDC 2022: 2196-2203 - [c55]Abolfazl Lavaei, Luigi Di Lillo, Margherita Atzei, Andrea Censi, Emilio Frazzoli:
Poster Abstract: Data-Driven Estimation of Collision Risks for Autonomous Vehicles with Formal Guarantees. HSCC 2022: 27:1-27:2 - [c53]Marco Wiedner, Francesco Branca, Enrico Mion, Andrea Censi, Emilio Frazzoli:
Contextual Driving Scene Perception from Anonymous Vehicle Bus Data for Automotive Applications. IROS 2022: 13010-13017 - [c52]Alessandro Zanardi, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli:
Factorization of Dynamic Games over Spatio-Temporal Resources. IROS 2022: 13159-13166 - [c51]Andrea Censi, Emilio Frazzoli, Jonathan Lorand, Gioele Zardini:
Categorification of Negative Information using Enrichment. ACT 2022: 22-40 - [i22]Gioele Zardini, Zelio Suter, Andrea Censi, Emilio Frazzoli:
Task-driven Modular Co-design of Vehicle Control Systems. CoRR abs/2203.16640 (2022) - [i21]Ezzat Elokda, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli:
A self-contained karma economy for the dynamic allocation of common resources. CoRR abs/2207.00495 (2022) - [i20]Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. CoRR abs/2210.13064 (2022) - 2021
- [j10]Alessandro Zanardi, Enrico Mion, Mattia Bruschetta, Saverio Bolognani, Andrea Censi, Emilio Frazzoli:
Urban Driving Games With Lexicographic Preferences and Socially Efficient Nash Equilibria. IEEE Robotics Autom. Lett. 6(3): 4978-4985 (2021) - [j9]Aleksandr Sakhnevych, Vincenzo Maria Arricale, Mattia Bruschetta, Andrea Censi, Enrico Mion, Enrico Picotti, Emilio Frazzoli:
Investigation on the Model-Based Control Performance in Vehicle Safety Critical Scenarios with Varying Tyre Limits. Sensors 21(16): 5372 (2021) - [c50]Gioele Zardini, Andrea Censi, Emilio Frazzoli:
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis. ECC 2021: 682-689 - [c48]Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli:
Co-design of Embodied Intelligence: A Structured Approach. IROS 2021: 7536-7543 - [c47]Julian G. Zilly, Alessandro Achille, Andrea Censi, Emilio Frazzoli:
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning. NeurIPS 2021: 12386-12399 - [i17]Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan, Saverio Bolognani, Andrea Censi, Florian Dörfler, Emilio Frazzoli:
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics. CoRR abs/2111.07099 (2021) - [i16]Abolfazl Lavaei, Luigi Di Lillo, Andrea Censi, Emilio Frazzoli:
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach. CoRR abs/2112.07187 (2021) - 2020
- [c46]Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. IROS 2020: 6229-6236 - [c45]Gioele Zardini, Nicolas Lanzetti, Mauro Salazar, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. ITSC 2020: 1-8 - [c44]Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli:
A Compositional Sheaf-Theoretic Framework for Event-Based Systems. ACT 2020: 139-153 - [i15]Gioele Zardini, Nicolas Lanzetti, Andrea Censi, Emilio Frazzoli, Marco Pavone:
On the Co-Design of AV-Enabled Mobility Systems. CoRR abs/2003.04739 (2020) - [i14]Gioele Zardini, David I. Spivak, Andrea Censi, Emilio Frazzoli:
A Compositional Sheaf-Theoretic Framework for Event-Based Systems. CoRR abs/2005.04715 (2020) - [i13]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. CoRR abs/2008.08975 (2020) - [i12]Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi:
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents. CoRR abs/2009.04362 (2020) - [i11]Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli:
A Formal Approach to the Co-Design of Embodied Intelligence. CoRR abs/2011.10756 (2020) - [i10]Gioele Zardini, Andrea Censi, Emilio Frazzoli:
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis. CoRR abs/2011.10758 (2020) - 2019
- [c43]Yannik Nager, Andrea Censi, Emilio Frazzoli:
What lies in the shadows? Safe and computation-aware motion planning for autonomous vehicles using intent-aware dynamic shadow regions. ICRA 2019: 5800-5806 - [c42]Alessandro Zanardi, Julian G. Zilly, Andreas Aumiller, Andrea Censi, Emilio Frazzoli:
Wormhole Learning. ICRA 2019: 7899-7905 - [c41]Andrea Censi, Konstantin Slutsky, Tichakorn Wongpiromsarn, Dmitry S. Yershov, Scott Pendleton, James Guo Ming Fu, Emilio Frazzoli:
Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks. ICRA 2019: 8536-8542 - [c39]Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima Sadat Mousavi, Emilio Frazzoli:
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. ITSC 2019: 686-693 - [c38]Alessandro Zanardi, Andreas Aumiller, Julian G. Zilly, Andrea Censi, Emilio Frazzoli:
Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning. Robotics: Science and Systems 2019 - [i9]Andrea Censi, Konstantin Slutsky, Tichakorn Wongpiromsarn, Dmitry S. Yershov, Scott Pendleton, James Guo Ming Fu, Emilio Frazzoli:
Liability, Ethics, and Culture-Aware Behavior Specification using Rulebooks. CoRR abs/1902.09355 (2019) - [i8]Julian G. Zilly, Jacopo Tani, Breandan Considine, Bhairav Mehta, Andrea F. Daniele, Manfred Diaz, Gianmarco Bernasconi, Claudio Ruch, Jan Hakenberg, Florian Golemo, A. Kirsten Bowser, Matthew R. Walter, Ruslan Hristov, Sunil Mallya, Emilio Frazzoli, Andrea Censi, Liam Paull:
The AI Driving Olympics at NeurIPS 2018. CoRR abs/1903.02503 (2019) - [i6]Andrea Censi, Saverio Bolognani, Julian G. Zilly, Shima Sadat Mousavi, Emilio Frazzoli:
Today Me, Tomorrow Thee: Efficient Resource Allocation in Competitive Settings using Karma Games. CoRR abs/1907.09198 (2019) - [i5]Gioele Zardini, Nicolas Lanzetti, Mauro Salazar, Andrea Censi, Emilio Frazzoli, Marco Pavone:
Towards a Co-Design Framework for Future Mobility Systems. CoRR abs/1910.07714 (2019) - [i4]Julian G. Zilly, Lorenz Hetzel, Andrea Censi, Emilio Frazzoli:
Quantifying the effect of representations on task complexity. CoRR abs/1912.09399 (2019) - 2017
- [c37]Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi:
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA 2017: 1497-1504 - 2016
- [c35]Prince Singh, Sze Zheng Yong, Jean Gregoire, Andrea Censi, Emilio Frazzoli:
Stabilization of linear continuous-time systems using neuromorphic vision sensors. CDC 2016: 3030-3036 - 2015
- [c32]Erich Mueller, Andrea Censi, Emilio Frazzoli:
Low-latency heading feedback control with neuromorphic vision sensors using efficient approximated incremental inference. CDC 2015: 992-999 - [c31]Erich Mueller, Andrea Censi, Emilio Frazzoli:
Efficient high speed signal estimation with neuromorphic vision sensors. EBCCSP 2015: 1-8 - [c30]Andrea Censi, Erich Mueller, Emilio Frazzoli, Stefano Soatto:
A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors. ICRA 2015: 3319-3326
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