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20092025
most citedCODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles

11 citations · 23 across the 12 of their papers we have counts for

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6 papers · 1 filter

cs.RO202511 cited

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…

cs.RO2023

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…

cs.RO20219 cited

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…

cs.RO20201 cited

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…

cs.RO2019

The AI Driving Olympics at NeurIPS 2018

Julian Zilly, Jacopo Tani, Breandan Considine +14

Despite recent breakthroughs, the ability of deep learning and reinforcement learning to outperform traditional approaches to control physically embodied robotic agents remains lar…

cs.RO20121 cited

From Angular Manifolds to the Integer Lattice: Guaranteed Orientation Estimation with Application to Pose Graph Optimization

Luca Carlone, Andrea Censi

Estimating the orientations of nodes in a pose graph from relative angular measurements is challenging because the variables live on a manifold product with nontrivial topology and…