Dejan Milojevic — accepted AI-conference papers

2026

CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint)

Dejan Milojevic, Gioele Zardini, Miriam Elser, Andrea Censi, Emilio Frazzoli

AAAI 2026technical

This article discusses the integration challenges and strategies for designing mobile robots, by focusing on the task-driven, optimal selection of hardware and software to balance safety, efficiency, and minimal usage of resources such as costs, energy, computational requirements, and weight. We emp

Cited by 0 Source ↗PDF ↗Scholar ↗

2021

Co-design of Embodied Intelligence: A Structured Approach

Gioele Zardini, Dejan Milojevic, Andrea Censi, Emilio Frazzoli

IROS 2021poster

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 such as control and perception pipelines. We propose a principled approach to formulate and solve complex embodied intelli…

Cited by 26 Source ↗Scholar ↗

2019

Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems

Matthew Tsao, Dejan Milojevic, Claudio Ruch, Mauro Salazar, Emilio Frazzoli, Marco Pavone

ICRA 2019poster

This paper presents a model predictive control (MPC) approach to optimize routes for Ride-sharing Autonomous Mobility-on-Demand (RAMoD) systems, whereby self-driving vehicles provide coordinated on-demand mobility, possibly allowing multiple customers to share a ride. Specifically, we first devise a…

Cited by 103 Source ↗Scholar ↗