D
Daniele Nardi
Researcher at Sapienza University of Rome
Publications - 382
Citations - 18489
Daniele Nardi is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Robot & Mobile robot. The author has an hindex of 47, co-authored 364 publications receiving 17602 citations. Previous affiliations of Daniele Nardi include University of Wisconsin–Milwaukee & Selex ES.
Papers
More filters
Proceedings ArticleDOI
Field coverage and weed mapping by UAV swarms
TL;DR: This work proposes here a decentralised multi-agent system for a field coverage and weed mapping problem, which is efficient, intrinsically robust and scalable to different group sizes.
Proceedings Article
Autoepistemic description logics
TL;DR: In this article, the authors present Autoepistemic Description Logics (ADLs), in which the language of description logics is augmented with modal operators interpreted according to the nonmonotonic logic MKNF.
Journal ArticleDOI
Competitions for Benchmarking: Task and Functionality Scoring Complete Performance Assessment
Francesco Amigoni,Emanuele Bastianelli,Jakob Berghofer,Andrea Bonarini,Giulio Fontana,Nico Hochgeschwender,Luca Iocchi,Gerhard K. Kraetzschmar,Pedro U. Lima,Matteo Matteucci,Pedro Miraldo,Daniele Nardi,Viola Schiaffonati +12 more
TL;DR: It is shown that the RoCKIn approach offers tools that enable the replicability of experimental results, by further articulating replicable into reproducibility and repeatability.
Journal ArticleDOI
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision Farming
TL;DR: AgriColMap as mentioned in this paper is a map registration pipeline that leverages a grid-based multimodal environment representation which includes a vegetation index map and a Digital Surface Model to build and update a common map of the field.
Proceedings Article
HuRIC: a Human Robot Interaction Corpus
Emanuele Bastianelli,Giuseppe Castellucci,Danilo Croce,Luca Iocchi,Roberto Basili,Daniele Nardi +5 more
TL;DR: The Human Robot Interaction Corpus (HuRIC) is made of audio files paired with their transcriptions referring to commands for a robot, e.g. in a home environment, to adopt a simple but expressive representation of commands that can be easily translated into the internal representation of the robot.