2.3k citations · 2.5k across the 34 of their papers we have counts for
35 papers
Co-Investment with Payoff-Sharing Mechanism for Cooperative Decision-Making in Network Design Games
Mingjia He, Andrea Censi, Runyu Zhang +2
Network-based systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operators may le…
A Vision for Trustworthy, Fair, and Efficient Socio-Technical Control using Karma Economies
Ezzat Elokda, Andrea Censi, Emilio Frazzoli +2
Control systems will play a pivotal role in addressing societal-scale challenges as they drive the development of sustainable future smart cities. At the heart of these challenges…
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles
Dejan Milojevic, Gioele Zardini, Miriam Elser +2
This paper discusses the integration challenges and strategies for designing mobile robots, by focusing on the task-driven, optimal selection of hardware and software to balance sa…
Iterative VCG-based Mechanism Fosters Cooperation in Multi-Regional Network Design
Mingjia He, Yannik Werner, Andrea Censi +2
Transportation network design often involves multiple stakeholders with diverse priorities. We consider a system with a hierarchical multi-agent structure, featuring self-optimized…
To Travel Quickly or to Park Conveniently: Coupled Resource Allocations with Multi-Karma Economies
Ezzat Elokda, Andrea Censi, Saverio Bolognani +2
The large-scale allocation of public resources (e.g., transportation, energy) is among the core challenges of future Cyber-Physical-Human Systems (CPHS). In order to guarantee that…
Co-investment with Payoff Sharing Benefit Operators and Users in Network Design
Mingjia He, Andrea Censi, Emilio Frazzoli +1
Network-based complex systems are inherently interconnected, with the design and performance of subnetworks being interdependent. However, the decisions of self-interested operator…
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness
Alessandro Zanardi, Andrea Censi, Margherita Atzei +2
Autonomous Vehicles (AVs) promise a range of societal advantages, including broader access to mobility, reduced road accidents, and enhanced transportation efficiency. However, eva…
A Learning-based Nonlinear Model Predictive Controller for a Real Go-Kart based on Black-box Dynamics Modeling through Gaussian Processes
Enrico Picotti, Enrico Mion, Alberto Dalla Libera +5
Lately, Nonlinear Model Predictive Control (NMPC)has been successfully applied to (semi-) autonomous driving problems and has proven to be a very promising technique. However, accu…
Factorization of Multi-Agent Sampling-Based Motion Planning
Alessandro Zanardi, Pietro Zullo, Andrea Censi +1
Modern robotics often involves multiple embodied agents operating within a shared environment. Path planning in these cases is considerably more challenging than in single-agent sc…
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games
Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin +3
We consider the interaction among agents engaging in a driving task and we model it as general-sum game. This class of games exhibits a plurality of different equilibria posing the…
CARMA: Fair and efficient bottleneck congestion management via non-tradable karma credits
Ezzat Elokda, Carlo Cenedese, Kenan Zhang +4
This paper proposes a non-monetary traffic demand management scheme, named CARMA, as a fair solution to the morning commute congestion. We consider heterogeneous commuters travelin…
Categorification of Negative Information using Enrichment
Andrea Censi, Emilio Frazzoli, Jonathan Lorand +1
In many engineering applications it is useful to reason about "negative information". For example, in planning problems, providing an optimal solution is the same as giving a feasi…
A self-contained karma economy for the dynamic allocation of common resources
Ezzat Elokda, Saverio Bolognani, Andrea Censi +2
This paper presents karma mechanisms, a novel approach to the repeated allocation of a scarce resource among competing agents over an infinite time. Examples include deciding which…
Task-driven Modular Co-design of Vehicle Control Systems
Gioele Zardini, Zelio Suter, Andrea Censi +1
When designing autonomous systems, we need to consider multiple trade-offs at various abstraction levels, and the choices of single (hardware and software) components need to be st…
Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach
Abolfazl Lavaei, Luigi Di Lillo, Andrea Censi +1
In this work, we propose a compositional data-driven approach for the formal estimation of collision risks for autonomous vehicles (AVs) while acting in a stochastic multi-agent fr…
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games with Prioritized Metrics
Alessandro Zanardi, Gioele Zardini, Sirish Srinivasan +4
Modern applications require robots to comply with multiple, often conflicting rules and to interact with the other agents. We present Posetal Games as a class of games in which eac…
On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents
Anthony Courchesne, Andrea Censi, Liam Paull
In many situations it is either impossible or impractical to develop and evaluate agents entirely on the target domain on which they will be deployed. This is particularly true in…
Dynamic Population Games: A Tractable Intersection of Mean-Field Games and Population Games
Ezzat Elokda, Saverio Bolognani, Andrea Censi +2
In many real-world large-scale decision problems, self-interested agents have individual dynamics and optimize their own long-term payoffs. Important examples include the competiti…
A Compositional Sheaf-Theoretic Framework for Event-Based Systems
Gioele Zardini, David I. Spivak, Andrea Censi +1
A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…
Co-Design of Autonomous Systems: From Hardware Selection to Control Synthesis
Gioele Zardini, Andrea Censi, Emilio Frazzoli
Designing cyber-physical systems is a complex task which requires insights at multiple abstraction levels. The choices of single components are deeply interconnected and need to be…
Co-Design of Embodied Intelligence: A Structured Approach
Gioele Zardini, Dejan Milojevic, Andrea Censi +1
We consider the problem of co-designing embodied intelligence as a whole in a structured way, from hardware components such as propulsion systems and sensors to software modules su…
Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi +10
As robotics matures and increases in complexity, it is more necessary than ever that robot autonomy research be reproducible. Compared to other sciences, there are specific challen…
Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions
Gioele Zardini, Nicolas Lanzetti, Andrea Censi +2
The design of future mobility solutions and the design of the mobility systems they enable are closely coupled. Indeed, knowledge about the intended service of novel mobility solut…
A Compositional Sheaf-Theoretic Framework for Event-Based Systems (Extended Version)
Gioele Zardini, David I. Spivak, Andrea Censi +1
A compositional sheaf-theoretic framework for the modeling of complex event-based systems is presented. We show that event-based systems are machines, with inputs and outputs, and…