Publications

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W
Who is Willing to Help Robots? A User Study on Collaboration Attitude, Vanzo, A., Riccio F., Sharf M., Mirabella V., Catarci T., and Nardi D. , INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, Volume {12}, Number {2}, p.589-598, (2020)
U
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
Unsupervised Pose Estimation by Means of an Innovative Vision Transformer, Brandizzi, N., Fanti A., Gallotta R., Russo S., Iocchi L., Nardi D., and Napoli C. , Volume {13589}, Number {False}, p.3-20, (2023)
UAV image based crop and weed distribution estimation on embedded GPU boards, Fawakherji, Mulham, Potena C., Bloisi D. D., Imperoli M., Pretto A., and Nardi D. , Volume {1089}, Number {False}, p.100-108, (2019)
UAV image based crop and weed distribution estimation on embedded GPU boards, Fawakherji, Mulham, Potena C., Bloisi D. D., Imperoli M., Pretto A., and Nardi D. , Volume {1089}, Number {False}, p.100-108, (2019)
S
Summary: Distributed task assignment and path planning with limited communication for robot teams, Albani, D., Honig W., Ayanian N., Nardi D., and Trianni V. , Volume {3}, Number {False}, p.1770-1772, (2019)
Structural Pruning for Real-Time Multi-Object Detection on NAO Robots, Specchi, G., Suriani V., Brienza M., Laus F., Maiorana F., Pennisi A., Nardi D., , and D. D. , Volume {False}, Number {False}, p.False-False, (2023)
Static analysis of PE files using neural network techniques for a pocket tool, A, F. H. Fonseca, Ferracci S., Palmaro F., Iocchi L., Nardi D., and Franchina L. , Volume {False}, Number {False}, p.01-06, (2021)
Simulation of near infrared sensor in unity for plant-weed segmentation classification, Carbone, C., Potena C., and Nardi D. , Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Volume {1}, Number {Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}, p.81-90, (2020)
R
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight], Asada, M., Stone P., Veloso M., Lee D., and Nardi D. , IEEE ROBOTICS AND AUTOMATION MAGAZINE, Volume {26}, Number {3}, p.99-102, (2019)
P
A Preliminary Study on Virtual Reality Tools in Human-Robot Interaction, Kaszuba, S., Leotta F., and Nardi D. , Volume {False}, Number {False}, p.81-90, (2021)
A Preliminary Study on Virtual Reality Tools in Human-Robot Interaction, Kaszuba, S., Leotta F., and Nardi D. , Volume {False}, Number {False}, p.81-90, (2021)
N
Numerical and experimental evaluation of the radar cross section of a drone, Pisa, S., Piuzzi E., Pittella E., Lombardo P., Genovese A., Bloisi D., Nardi D., Dratanasio P., and Zambotti A. , Volume {False}, Number {False}, p.309-312, (2018)
Numerical and experimental evaluation of the radar cross section of a drone, Pisa, S., Piuzzi E., Pittella E., Lombardo P., Genovese A., Bloisi D., Nardi D., Dratanasio P., and Zambotti A. , Volume {False}, Number {False}, p.309-312, (2018)
M
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming, Fawakherji, M., Potena C., Pretto A., Bloisi D. D., and Nardi D. , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.False-False, (2021)
Mapping infected crops through uav inspection: The sunflower downy mildew parasite case, Rodriguez-Gomez, J. P., Di Cicco M., Nardi S., and Nardi D. , Volume {11606}, Number {False}, p.495-503, (2019)
Mapping infected crops through uav inspection: The sunflower downy mildew parasite case, Rodriguez-Gomez, J. P., Di Cicco M., Nardi S., and Nardi D. , Volume {11606}, Number {False}, p.495-503, (2019)
L
LOOP: Iterative learning for optimistic planning on robots, Riccio, F., Capobianco R., and Nardi D. , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {136}, Number {False}, p.103693-False, (2021)
I
Investigating User Perceptions of HRI in Social Contexts, Wang, L., Marrella A., and Nardi D. , Volume {2019}, Number {False}, p.544-545, (2019)
H
HRI Users' Studies in the Context of the SciRoc Challenge: Some Insights on Gender-Based Differences, Wang, L., Iocchi L., Marrella A., and Nardi D. , Volume {False}, Number {False}, p.287-289, (2020)
Hierarchical task assignment and path finding with limited communication for robot swarms, Albani, D., Honig W., Nardi D., Ayanian N., and Trianni V. , APPLIED SCIENCES, Volume {11}, Number {7}, p.False-False, (2021)
Hierarchical task assignment and path finding with limited communication for robot swarms, Albani, D., Honig W., Nardi D., Ayanian N., and Trianni V. , APPLIED SCIENCES, Volume {11}, Number {7}, p.False-False, (2021)
G
Grounded language interpretation of robotic commands through structured learning, Vanzo, A., Croce D., Bastianelli E., Basili R., and Nardi D. , ARTIFICIAL INTELLIGENCE, Volume {278}, Number {False}, p.False-False, (2020)
Gesture Recognition for Human-Robot Interaction Through Virtual Characters, Sabbella, S. R., Kaszuba S., Leotta F., and Nardi D. , Volume {14454}, Number {False}, p.160-170, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
A GAN Approach for Anomaly Detection in Spacecraft Telemetries, Ciancarelli, C., De Magistris G., Cognetta S., Appetito D., Napoli C., and Nardi D. , Volume {531}, Number {False}, p.393-402, (2023)
F
The future of Cybersecurity in Italy: Strategic focus area, Baldoni, R., De Nicola R., Prinetto P., Anglano C., Aniello L., Antinori A., Armando A., Aversa R., Baldi Marco, Barili A., et al. , Volume {False}, Number {False}, p.1-228, (2018)
On Field Gesture-Based Robot-to-Robot Communication with NAO Soccer Players, Di Giambattista, V., Fawakherji M., Suriani V., Bloisi D. D., and Nardi D. , Volume {11531}, Number {False}, p.367-375, (2019)
Field coverage for weed mapping: Toward experiments with a UAV swarm, Albani, D., Manoni T., Arik A., Nardi D., and Trianni V. , Volume {289}, Number {False}, p.132-146, (2019)
Field coverage and weed mapping by UAV swarms, Albani, D., Nardi D., and Trianni V. , Volume {False}, Number {False}, p.4319-4325, (2017)
Field coverage and weed mapping by UAV swarms, Albani, D., Nardi D., and Trianni V. , Volume {False}, Number {False}, p.4319-4325, (2017)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
Fast and accurate crop and weed identification with summarized train sets for precision agriculture, Potena, C., Nardi D., and Pretto A. , Volume {531}, Number {False}, p.105-121, (2017)
E
Emotional machines: The next revolution, Franzoni, V., Milani A., Nardi D., and Vallverdu J. , WEB INTELLIGENCE, Volume {17}, Number {1}, p.1-7, (2019)
D
Dynamic UAV swarm deployment for non-uniform coverage: Robotics track, Albani, D., Manoni T., Nardi D., and Trianni V. , Volume {1}, Number {False}, p.523-531, (2018)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking, La Rosa, B., Capobianco R., and Nardi D. , Volume {3078}, Number {False}, p.33-44, (2022)
Developing a Questionnaire to Evaluate Customers' Perception in the Smart City Robotic Challenge, Wang, L., Iocchi L., Marrella A., and Nardi D. , Volume {False}, Number {False}, p.1-6, (2019)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images, Martino, F., Bloisi D. D., Pennisi A., Fawakherji M., Ilardi G., Russo D., Nardi D., Staibano S., and Merolla F. , APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Deep learning-based pixel-wise lesion segmentation on oral squamous cell carcinoma images, Martino, F., Bloisi D. D., Pennisi A., Fawakherji M., Ilardi G., Russo D., Nardi D., Staibano S., and Merolla F. , APPLIED SCIENCES, Volume {10}, Number {22}, p.1-14, (2020)
Deep Convolutional Pixel-wise Labeling for Skin Lesion Image Segmentation, Youssef, A., Bloisi D. D., Muscio M., Pennisi A., Nardi D., and Facchiano A. , Volume {False}, Number {False}, p.1-6, (2018)
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming, Fawakherji, M., Potena C., Prevedello I., Pretto A., Bloisi D. D., and Nardi D. , Volume {False}, Number {False}, p.279-284, (2020)
C
Coordination and Cooperation in Robot Soccer, Suriani, V., Antonioni E., Riccio F., and Nardi D. , Volume {False}, Number {False}, p.215-227, (2021)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative multi-agent deep reinforcement learning in soccer domains, Ocana, Jim Martin Cat, Capobianco R., Riccio F., and Nardi D. , Volume {4}, Number {False}, p.1865-1867, (2019)
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task, Ocana, J. M. Catacor, Riccio F., Capobianco R., and Nardi D. , Volume {11531}, Number {False}, p.44-57, (2019)

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