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Computer Science

D-Index
45
Citations
6418
World Ranking
7314
National Ranking
189

Overview

Luca Iocchi is affiliated with Sapienza University of Rome in Italy. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence and its applications across various domains.

Their recent published works include:

  • Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review, 2023, Drones
  • Image Classification With Small Datasets: Overview and Benchmark, 2022, IEEE Access
  • Learning Newtonian Physics through Programming Robot Experiments, 2021, Technology Knowledge and Learning
  • Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification, 2021, IRIS Research product catalog (Sapienza University of Rome)
  • Restraining Bolts for Reinforcement Learning Agents, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently collaborates with several coauthors, including:

  • Fabio Patrizi
  • Lorenzo Brigato
  • Giuseppe De Giacomo
  • Marco Favorito
  • Christian Napoli

Luca Iocchi has published multiple papers in leading venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • OBM Neurobiology
  • Frontiers in Robotics and AI

Their subfields of research include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Radiology, Nuclear Medicine and Imaging

Luca Iocchi works on topics that include:

  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications
  • COVID-19 diagnosis using AI
  • Domain Adaptation and Few-Shot Learning
  • Robotic Path Planning Algorithms
  • Social Robot Interaction and HRI
  • UAV Applications and Optimization

Best Publications

  • Multirobot systems: a classification focused on coordination

    A. Farinelli;L. Iocchi;D. Nardi

  • RoboCup@Home: Scientific Competition and Benchmarking for Domestic Service Robots

    Thomas Wisspeintner;Tijn van der Zant;Luca Iocchi;Stefan Schiffer

  • Scan Matching in the Hough Domain

    A. Censi;L. Iocchi;G. Grisetti

  • A Close Look at Deep Learning with Small Data

    Lorenzo Brigato;Luca Iocchi

  • Reactivity and Deliberation: A Survey on Multi-Robot Systems

    Luca Iocchi;Daniele Nardi;Massimiliano Salerno

  • Distributed Coordination in Heterogeneous Multi-Robot Systems

    Luca Iocchi;Daniele Nardi;Maurizio Piaggio;Antonio Sgorbissa

  • Distributed on-line Dynamic Task Assignment for Multi-Robot Patrolling

    Alessandro Farinelli;Luca Iocchi;Daniele Nardi

  • Image based Steganography and Cryptography

    Domenico Daniele Bloisi;Luca Iocchi

  • A synthesis of automated planning and reinforcement learning for efficient, robust decision-making

    Matteo Leonetti;Matteo Leonetti;Luca Iocchi;Peter Stone

  • Visually Realistic Mapping of a Planar Environment with Stereo

    Luca Iocchi;Kurt Konolige;Max Bajracharya

  • Multi-objective Exploration and Search for Autonomous Rescue Robots

    Daniele Calisi;Alessandro Farinelli;Luca Iocchi;Daniele Nardi

  • Petri Net Plans

    V. A. Ziparo;L. Iocchi;Pedro U. Lima;D. Nardi

  • OpenRDK: A modular framework for robotic software development

    D. Calisi;A. Censi;L. Iocchi;D. Nardi

  • A 3D Simulator of Multiple Legged Robots Based on USARSim

    Marco Zaratti;Marco Fratarcangeli;Luca Iocchi

  • Coordination in multi-agent RoboCup teams

    Ciprian Candea;Huosheng Hu;Luca Iocchi;Daniele Nardi

  • Real-Time Detection of Independent Motion using Stereo

    Motilal Agrawal;Kurt Konolige;Luca Iocchi

  • Petri Net Plans

    V. A. Ziparo;L. Iocchi

  • ARGOS - A VIDEO SURVEILLANCE SYSTEM FOR BOAT TRAFFIC MONITORING IN VENICE

    Domenico Daniele Bloisi;Luca Iocchi

  • Petri net plans: a formal model for representation and execution of multi-robot plans

    V. A. Ziparo;L. Iocchi;D. Nardi;P. F. Palamara

  • Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specifications

    Giuseppe De Giacomo;Luca Iocchi;Marco Favorito;Fabio Patrizi

  • Proceedings of the 27th International Conference on Automated Planning and Scheduling, ICAPS 2017

    Valerio Sanelli;Michael Cashmore;Luca Iocchi;Daniele Magazzeni

Frequent Co-Authors

Daniele Nardi
Daniele Nardi Sapienza University of Rome
Giorgio Grisetti
Giorgio Grisetti Sapienza University of Rome
Riccardo Rosati
Riccardo Rosati Sapienza University of Rome
Giuseppe De Giacomo
Giuseppe De Giacomo Sapienza University of Rome
Matteo Matteucci
Matteo Matteucci Polytechnic University of Milan
Paolo Remagnino
Paolo Remagnino Durham University
Tiziana Catarci
Tiziana Catarci Sapienza University of Rome
Kurt Konolige
Kurt Konolige Google (United States)
Thomas Lukasiewicz
Thomas Lukasiewicz University of Oxford
Giuseppe Oriolo
Giuseppe Oriolo Sapienza University of Rome

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