activity
20192026
most citedCODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles

11 citations · 30 across the 47 of their papers we have counts for

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6 papers · 1 filter

math.OC2026

Compositional Online Learning for Multi-Objective System Co-Design

Meshal Alharbi, Munther A. Dahleh, Gioele Zardini

Many engineered systems must balance competing objectives, such as performance and safety, cost and reliability, or efficiency and sustainability, and are naturally modeled as comp…

math.OC2026

Random-Subspace Sequential Quadratic Programming for Constrained Zeroth-Order Optimization

Runyu Zhang, Gioele Zardini

We study nonlinear constrained optimization problems in which only function evaluations of the objective and constraints are available. Existing zeroth-order methods rely on noisy…

math.OC2026

Scalable Co-Design via Linear Design Problems: Compositional Theory and Algorithms

Yubo Cai, Yujun Huang, Meshal Alharbi +1

Designing complex engineered systems requires managing tightly coupled trade-offs between subsystem capabilities and resource requirements. Monotone co-design provides a compositio…

math.OC2025

Zeroth-Order Constrained Optimization from a Control Perspective via Feedback Linearization

Runyu Zhang, Gioele Zardini, Asuman Ozdaglar +2

Safe derivative-free optimization under unknown constraints is a fundamental challenge in modern learning and control. Existing zeroth-order (ZO) methods typically still assume acc…

math.OC2025

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems

Xinling Li, Xiaotong Guo, Qingyi Wang +2

Autonomous Mobility-on-Demand (AMoD) services offer an opportunity for improving passenger service while reducing pollution and energy consumption through effective vehicle coordin…

math.OC2025

Robo-Taxi Fleet Coordination with Accelerated High-Capacity Ridepooling

Xinling Li, Daniele Gammelli, Alex Wallar +2

Rapid urbanization has led to a surge of customizable mobility demand in urban areas, which makes on-demand services increasingly popular. On-demand services are flexible while red…