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Gioele Zardini

9 accepted papers

2026

Accelerating High-Capacity Ridepooling in Robo-Taxi Systems

RA-L 2026

Rapid urbanization has increased demand for customized urban mobility, making on-demand services and robo-taxis central to future transportation. The efficiency of these systems hinges on real-time fleet coordination algorithms. This work accelerates the state-of-the-art high-capacity ridepooling fr

Cited by 1SourceScholar
2026

Accelerating High-Capacity Ridepooling in Robo-Taxi Systems

ICRA 2026poster

Rapid urbanization has increased demand for customized urban mobility, making on-demand services and robo-taxis central to future transportation. The efficiency of these systems hinges on real-time fleet coordination algorithms. This work accelerates the state-of-the-art high-capacity ridepooling fr…

Cited by 0SourceScholar
2026

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

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 0SourcePDFScholar
2026

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

ICRA 2026poster

Robots operating alongside people, particularly in sensitive scenarios such as aiding the elderly with daily tasks or collaborating with workers in manufacturing, must guarantee safety and cultivate user trust. Continuum soft manipulators promise safety through material compliance, but as designs ev…

2026

GRAND: Guidance, Rebalancing, and Assignment for Networked Dispatch in Multi-Agent Path Finding

RA-L 2026

Large robot fleets are now common in warehouses and other logistics settings, where small control gains translate into large operational impacts. In this article, we address task scheduling for lifelong Multi-Agent Pickup-and-Delivery (MAPD) and propose a hybrid method that couples learning-based gl

Cited by 0SourceScholar
2025

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

RA-L 2025

Robots operating alongside people, particularly in sensitive scenarios such as aiding the elderly with daily tasks or collaborating with workers in manufacturing, must guarantee safety and cultivate user trust. Continuum soft manipulators promise safety through material compliance, but as designs ev

Cited by 7SourceScholar
2022

Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics

RA-L 2022

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 each player expresses a preference over the outcomes via a partially ordered set of metrics. This allows one to combine hie

Cited by 13SourceScholar
2022

Visual Confined-Space Navigation Using an Efficient Learned Bilinear Optic Flow Approximation for Insect-scale Robots

IROS 2022poster

Visual navigation for insect-scale robots is very challenging because in such a small scale, the size, weight, and power (SWaP) constraints do not appear to permit visual navigation techniques such as SLAM (Simultaneous Localization and Mapping) because they are likely to be too power-hungry. We pro…

Cited by 6SourceScholar
2021

Co-design of Embodied Intelligence: A Structured Approach

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 26SourceScholar