User profiles for Luca Iocchi

Luca Iocchi

Full Professor - Sapienza University of Rome, Italy
Verified email at diag.uniroma1.it
Cited by 7777

Multirobot systems: a classification focused on coordination

A Farinelli, L Iocchi, D Nardi - IEEE Transactions on Systems …, 2004 - ieeexplore.ieee.org
Multirobot systems (MRS) are, nowadays, an important research area within robotics and
artificial intelligence and a growing number of systems have recently been presented in the …

Scalable and cooperative deep reinforcement learning approaches for multi-UAV systems: A systematic review

F Frattolillo, D Brunori, L Iocchi - Drones, 2023 - mdpi.com
In recent years, the use of multiple unmanned aerial vehicles (UAVs) in various applications
has progressively increased thanks to advancements in multi-agent system technology, …

[HTML][HTML] RoboCup@ Home: Analysis and results of evolving competitions for domestic and service robots

L Iocchi, D Holz, J Ruiz-del-Solar, K Sugiura… - Artificial Intelligence, 2015 - Elsevier
Scientific competitions are becoming more common in many research areas of artificial
intelligence and robotics, since they provide a shared testbed for comparing different solutions …

Distributed coordination in heterogeneous multi-robot systems

L Iocchi, D Nardi, M Piaggio, A Sgorbissa - Autonomous robots, 2003 - Springer
Coordination in multi-robot systems is a very active research field in Artificial Intelligence
and Robotics, since through coordination one can achieve a more effective execution of the …

Reactivity and deliberation: a survey on multi-robot systems

M Hannebauer, J Wendler, E Pagello, L Iocchi… - Balancing Reactivity and …, 2001 - Springer
Multi Robot Systems are, nowadays, an important research area within Robotics and Artificial
Intelligence. Although Multi Robot Systems can be regarded as a particular case of Multi …

Image classification with small datasets: Overview and benchmark

L Brigato, B Barz, L Iocchi, J Denzler - IEEE Access, 2022 - ieeexplore.ieee.org
Image classification with small datasets has been an active research area in the recent past.
However, as research in this scope is still in its infancy, two key ingredients are missing for …

Petri net plans: A framework for collaboration and coordination in multi-robot systems

VA Ziparo, L Iocchi, PU Lima, D Nardi… - Autonomous Agents and …, 2011 - Springer
Programming the behavior of multi-robot systems is a challenging task which has a key role
in developing effective systems in many application domains. In this paper, we present Petri …

RoboCup@ Home: Scientific competition and benchmarking for domestic service robots

T Wisspeintner, T Van Der Zant, L Iocchi… - Interaction …, 2009 - jbe-platform.com
Being part of the RoboCup initiative, the RoboCup@Home league targets the development
and deployment of autonomous service and assistive robot technology being essential for …

A close look at deep learning with small data

L Brigato, L Iocchi - 2020 25th international conference on …, 2021 - ieeexplore.ieee.org
In this work, we perform a wide variety of experiments with different deep learning architectures
on datasets of limited size. According to our study, we show that model complexity is a …

Scan matching in the Hough domain

A Censi, L Iocchi, G Grisetti - Proceedings of the 2005 IEEE …, 2005 - ieeexplore.ieee.org
Scan matching is used as a building block in many robotic applications, for localization and
simultaneous localization and mapping (SLAM). Although many techniques have been …