2026
Romeo, L., Moreno-Aguilera, C. Y., Santoyo-Mora, M., Martinez-Nolasco, C., Martínez Nolasco, J. J., Petitti, A. (2026, August). RNN-based Digital Twin for autonomous nutrient scheduling in Controlled Environment Agriculture. In 2026 22nd International Conference on Advanced Visual and Signal-Based Systems (AVSS). Lecce, Italy. IEEE. (submitted)
Romeo, L., Patruno, C., Cicirelli, G., & D'Orazio, T. (2026). Multi-Scale Transformer-based architectures with temporal granularity for Human Action Recognition in industrial assembly. Computer Vision and Image Understanding, Elsevier. (submitted)
Romeo, L., Devanna, R.P., Matranga, G., Biddoccu, M., & Milella, A. (2026). Depth-aware scale normalization for robust semantic segmentation in vineyard images. Smart Agricultural Technology, 14, 102161.
Moreno-Aguilera, C. Y., Herrera-Arroyo, R. O., Santoyo-Mora, M., Martinez-Nolasco, C., Sámano-Ortega, V., Martínez Nolasco, J. J., Petitti, A., & Romeo, L. (2026). Evaluation of LED Spectral Treatments on Morphological and Nutritional Parameters of Swiss Chard (Beta vulgaris var. cicla) in a Controlled Environment Agriculture System. Agriculture, 16(2), 165.
2025
Romeo, L., Patruno, C., Cicirelli G., & D’Orazio, T. Multi-view skeleton analysis for human action recognition and segmentation tasks (2025, February). In 2025 14th International Conference on Pattern Recognition Applications and Methods (ICPRAM) (pp. 579-586). Porto, Portugal.
Devanna, R.P., Romeo, L., Reina, G., & Milella, A. (2025). Yield estimation in precision viticulture by combining deep segmentation and depth-based clustering. Computers and Electronics in Agriculture, 232, 110025.
Romeo, L., Marani, R., Perri, A.G., & Gall, J. (2025). Multi-modal temporal action segmentation for manufacturing scenarios. Engineering Applications of Artificial Intelligence, 148, 110320.
Brambilla, C., Nicora, M. L., Romeo, L., Storm, F. A., D'Orazio, T., Malosio, M. & Scano, A. (2025). Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction. Applied Ergonomics, 128, 104557.
Patruno, C., Romeo, L., Bono, A., D'Orazio, T., & Cicirelli, G. (2025, August). Skeleton-based human action recognition for manufacturing in assembly task by deep learning. In Multimodal Sensing and Artificial Intelligence for Sustainable Future (Vol. 13570, pp. 211-218). Munich, Germany. SPIE.
Patruno, C., Cicirelli, G., Romeo, L., & D’Orazio, T. (2025, July). Analysis of Input Data Configurations in CNN-based Human Action Recognition for Assembly Task. In 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT) (Vol. 1, pp. 22-27). Split, Croatia. IEEE.
Romeo, L., Patruno, C., Cicirelli, G., & D’Orazio, T. (2025, July). Deep Learning Methods with Iterative-Boosting for performing Human Action Recognition in Manufacturing Scenarios. In 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT) (Vol. 1, pp. 835-840). Split, Croatia. IEEE.
Romeo, L., Coratelli, A., & Petitti, A. (2025, October). Data-Driven Soil Moisture Prediction and Irrigation Scheduling with Recurrent Neural Networks. In 2025 5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (pp. 1-6). Zanzibar, Tanzania. IEEE.
2024
Romeo, L., Bono, A., Cicirelli, G., & D'Orazio, T. (2024, May). Industrial Datasets for Multi-Modal Monitoring of an Assembly Task for Human Action Recognition and Segmentation. In 2024 4th National Conference on Artificial Intelligence (Ital-IA) (pp. 224-229). Naples, Italy.
Romeo, L., Marani, R., Cicirelli, G., & D’Orazio, T. (2024, July). Multimodal data extraction and analysis for the implementation of Temporal Action Segmentation models in Manufacturing. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 854-859). Valletta, Malta IEEE.
Romeo, L., Maselli M.V., García Domínguez M., Marani, R., Lavit Nicora M., Malosio M., Cicirelli, G., & D’Orazio, T. (2024, July). A dataset on human-cobot collaboration for action recognition in manufacturing assembly. In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT) (pp. 866-871). Valletta, Malta. IEEE.
2023
Brambilla, C., Marani, R., Romeo, L., Nicora, M. L., Storm, F. A., Reni, G., Malosio, M., D'Orazio, T., & Scano, A. (2023). Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis. Heliyon, 9(11).
Romeo, L., Devanna, R. P., Marani, R., Matranga, G., Biddoccu, M., & Milella, A. (2023, August). Scale-invariant semantic segmentation of natural RGB-D images combining decision tree and deep learning models. In Multimodal Sensing and Artificial Intelligence: Technologies and Applications III (Vol. 12621, pp. 257-260). Munich, Germany. SPIE.
Romeo, L., Marani, R., D’Orazio, T., & Cicirelli, G. (2023). Video Based Mobility Monitoring of Elderly People Using Deep Learning Models. IEEE Access, 11, 2804-2819.
2022
Cicirelli, G., Marani, R., Romeo, L., Domínguez, M. G., Heras, J., Perri, A. G., & D’Orazio, T. (2022). The HA4M dataset: Multi-Modal Monitoring of an assembly task for Human Action recognition in Manufacturing. Scientific Data, 9(1), 1-12.
Romeo, L., Marani, R., Perri, A. G., & D’Orazio, T. (2022). Microsoft Azure Kinect Calibration for Three-Dimensional Dense Point Clouds and Reliable Skeletons. Sensors, 22(13), 4986.
2021
Romeo, L., Marani, R., Malosio, M., Perri, A. G., & D’Orazio, T. (2021, June). Performance analysis of body tracking with the microsoft azure kinect. In 2021 29th Mediterranean Conference on Control and Automation (MED) (pp. 572-577). Bari, Italy. IEEE.
2020
Romeo, L., Petitti, A., Marani, R., & Milella, A. (2020). Internet of robotic things in smart domains: Applications and challenges. Sensors, 20(12), 3355.
Romeo, L., Marani, R., Petitti, A., Milella, A., D’Orazio, T., & Cicirelli, G. (2020, October). Image-Based Mobility Assessment in Elderly People from Low-Cost Systems of Cameras: A Skeletal Dataset for Experimental Evaluations. In International Conference on Ad-Hoc Networks and Wireless (pp. 125-130). Bari, Italy. Springer, Cham.
Romeo, L., Marani, R., Lorusso, N., Angelillo, M. T., & Cicirelli, G. (2020, June). Vision-based assessment of balance control in elderly people. In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). Bari, Italy. IEEE.
Romeo, L., Petitti, A., Marani, R., & Milella, A. (2020, June). Internet of robotic things in industry 4.0: Applications, issues and challenges. In IEEE 7th International Conference on Control, Decision and Information Technologies (CoDiT) (Vol. 1, pp. 177-182). Prague, Czech Republic. IEEE.
Romeo, L., Petitti, A., Colella, R., Valecce, G., Boccadoro, P., Milella, A., & Grieco, L. A. (2020, February). Automated deployment of iot networks in outdoor scenarios using an unmanned ground vehicle. In 2020 IEEE International Conference on Industrial Technology (ICIT) (pp. 369-374). Buenos Aires, Argentina. IEEE.
2019
Petitti, A., Colella, R., Milella, A., D’Orazio, T., Romeo, L., Boccadoro, P., Valecce, G., & Grieco, L. A. (2019). A Robotic-aided IoT System for Automatic Deployment of 6TiSCH Networks. In 2019 I-RIM Conference (pp. 173-174). Rome, Italy.