Istituto di
Biorobotica

Inizio contenuto principale del sito

Ricerca

Pubblicazioni [J=Journal, C=Conference, B=Book]

2024

  • [J] Senden, M., van Albada, S., Pezzulo, G., Falotico, E., Hashim, I., Kroner, A., Kurth, A., Lanillos, P., Narayanan, V., Pennartz, C., Petrovici, M., Steffen, L., Weidler, T., Goebel, R. (2024). Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance. National Science Review. https://doi.org/10.1093/nsr/nwad318.
  • [C] Li, L., Donato, E., Lomonaco, V., Falotico, E.(2024). Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation. In IEEE International Conference on Soft Robotics (RoboSoft). Pre-print: https://doi.org/10.48550/arXiv.2404.04219.
  • [C] Donato, E., Falotico, E., Thuruthel, T.G. (2024). Multi-modal perception for soft robotic interactions using generative models. In IEEE International Conference on Soft Robotics (RoboSoft). Pre-print: https://doi.org/10.48550/arXiv.2404.04220.
  • [J] Nazeer, M. S., Laschi, C., Falotico, E. (2024). RL-Based Adaptive Controller for High Precision Reaching in a Soft Robot Arm. In IEEE Transactions on Robotics. https://doi.org/10.1109/TRO.2024.3381558.
  • [J] Papageorgiou, D., Sigurðardóttir, G., Falotico, E., Tolu, S. (2024).Sliding-mode control of a soft robot based on data-driven sparse identification. In Control Engineering Practice. https://doi.org/10.1016/j.conengprac.2023.105836.
  • [J] Menici, V., Scalise, R., Fasano, A., Falotico, E., Dubbini, N., Prencipe, G., Sgandurra, G., Filogna, S., Battini, R. (2024). Assessment of Postural Control in Children with Movement Disorders by Means of a New Technological Tool: A Pilot Study. In Bioengineering. https://doi.org/10.3390/bioengineering11020176
  • [J] Lee, Y., Virgala, I., Sadati, H., Falotico, E. (2024). Editorial: Design, modeling and control of kinematically redundant robots. In Frontiers in Robotics and AI. https://doi.org/10.3389/frobt.2024.1399217. 

2023

  • [J] Nazeer, M.S., Laschi, C., & Falotico, E. (2023). Soft DAgger: Sample-Efficient Imitation Learning for Control of Soft Robots. In Sensors. https://doi.org/10.3390/s23198278
  • [C] Nazeer, M.S., Laschi, C., & Falotico, E. (2023). Imitation and reinforcement learning to control soft robots: a perspective. In IOP Conference Series: Materials Science and Engineering. https://doi.org/10.1088/1757-899X/1292/1/012010.
  • [J] Bianchi, D., Antonelli, M.G., Laschi, C., Sabatini, A.M., & Falotico, E. (2023). SofToss: Learning to Throw Objects With a Soft Robot. In IEEE Robotics & Automation Magazine. https://doi.org/10.1109/MRA.2023.3310865.
  • [J] Perovic, G., Iori, F., Mazzeo, A., Controzzi, M., & Falotico, E. (2023). Adaptive Robot-Human Handovers With Preference Learning. In IEEE Robotics and Automation Letters. https://doi.org/10.1109/LRA.2023.3306280.
  • [C] Szadkowski, R., Nazeer, M., Cianchetti, M., Falotico, E., Faigl, J. (2023). Bootstrapping the Dynamic Gait Controller of the Soft Robot Arm. In IEEE International Conference on Robotics and Automation (ICRA). https://doi.org/10.1109/ICRA48891.2023.10160579.
  • [J] Laschi, C., Thuruthel, T.G., Lida, F., Merzouki, R., & Falotico, E. (2023). Learning-Based Control Strategies for Soft Robots: Theory, Achievements, and Future Challenges. IEEE Control Systems. https://doi.org/10.1109/MCS.2023.3253421.
  • [J] Alessi, C., Falotico, E., & Lucantonio, A. (2023). Ablation Study of a Dynamic Model for a 3D-Printed Pneumatic Soft Robotic Arm.In IEEE Access. https://doi.org/10.1109/ACCESS.2023.3266282.
  • [C] Nazeer, M., Bianchi, D., Campinoti, G., Laschi, C., Falotico, E. (2023). Policy Adaptation using an Online Regressing Network in a Soft Robotic Arm. In IEEE International Conference on Soft Robotics (RoboSoft). https://doi.org/10.1109/RoboSoft55895.2023.10121927.
  • [C] Donato, E., Ansari, Y., Laschi, C., Falotico, E. (2023). Plant-inspired behavior-based controller to enable reaching in redundant continuum robot arms. In IEEE International Conference on Soft Robotics (RoboSoft). https://doi.org/10.1109/RoboSoft55895.2023.10122017.
  • [C] Agabiti, C., Ménager, E., Falotico, E. (2023). Whole-arm Grasping Strategy for Soft Arms to Capture Space Debris. In IEEE International Conference on Soft Robotics (RoboSoft). https://doi.org/10.1109/RoboSoft55895.2023.10122076.
  • [C] Piqué, F., Stella, F., Hughes, J., Falotico, E., D. Santina, C. (2023). Smell Driven Navigation for Soft Robotic Arms: Artificial Nose and Control. In IEEE International Conference on Soft Robotics (RoboSoft). https://doi.org/10.1109/RoboSoft55895.2023.10122116.
  • [C] Alessi, C., Hauser, H., Lucantonio, A., Falotico, E. (2023). Learning a Controller for Soft Robotic Arms and Testing its Generalization to New Observations, Dynamics, and Tasks. In IEEE International Conference on Soft Robotics (RoboSoft). https://doi.org/10.1109/RoboSoft55895.2023.10121988.
  • [J] Iori, F., Perovic, G., Cini, F., Mazzeo, A., Falotico, E., & Controzzi, M. (2023). DMP-Based Reactive Robot-to-Human Handover in Perturbed Scenarios. International Journal of Social Robotics. https://doi.org/10.1007/s12369-022-00960-4.
  • [C] Bianchi, D., Antonelli, M., Laschi, C., Sabatini, A.M., & Falotico, E. (2023). Learning-Based Inverse Dynamic Controller for Throwing Tasks with a Soft Robotic Arm. International Conference on Informatics in Control, Automation and Robotics. https://doi.org/10.5220/0012184200003543.

2022

  • [J] Babadian, R.P., Faez, K., Amiri, M., & Falotico, E. (2022). Fusion of tactile and visual information in deep learning models for object recognition. Inf. Fusion. https://doi.org/10.1016/j.inffus.2022.11.032
  • [J] Rostamian, B., Koolani, M., Abdollahzade, P., Lankarany, M., Falotico, E., Amiri, M., & V. Thakor, N. (2022). Texture recognition based on multi-sensory integration of proprioceptive and tactile signals. In Scientific Reports. https://doi.org/10.1038/s41598-022-24640-5 
  • [J] Fasano, A., Biancardi, C.M., Masi, G., Della Vecchia, S., Frumento, P., Mazzoni, A., Falotico, E., Faraguna, U., & Sicca, F. (2022). Maximum downward slope of sleep slow waves as a potential marker of attention-deficit/hyperactivity disorder clinical phenotypes. In Journal of psychiatric research. https://doi.org/10.1016/j.jpsychires.2022.10.057.
  • [J] Fruzzetti, L., Kalidindi, H.T., Antonietti, A., Alessandro, C., Geminiani, A., Casellato, C., Falotico, E., & D’Angelo, E. (2022). Dual STDP processes at Purkinje cells contribute to distinct improvements in accuracy and speed of saccadic eye movements. In PLoS Computational Biology. https://doi.org/10.1371/journal.pcbi.1010564.
  • [J] Robertazzi, F., Vissani, M., Schillaci, G., Falotico, E. (2022). Brain-inspired meta-reinforcement learning cognitive control in conflictual inhibition decision-making task for artificial agents. Neural Networks, in press. 10.1016/j.neunet.2022.06.020
  • [C] Dilibal, S., Gulnergiz, E.T., Pagliarani, N., Donato, E., Iori, F., Setti, E., Falotico, E., Cianchetti, M. (2022). Grasping of Li-ion Batteries via Additively Manufactured Soft Gripper and Collaborative Robot. In IEEE International Congress on Human-Computer Interaction, Optimization and Robotic Applications, June 2022
  • [C] Bianchi, D., Antonelli, M., Laschi, C., Falotico, E. (2022). Open-loop Control of a Soft Arm in Throwing Tasks.  In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics, ISBN 978-989-758-585-2, ISSN 2184-2809, pp. 138-145
  • [J] Centurelli, A., Arleo, L., Rizzo, A., Tolu, S., Laschi, C., Falotico, E. (2022). Closed-Loop Dynamic Control of a Soft  Manipulator Using Deep Reinforcement Learning. IEEE Robotics and Automation Letters, 7(2), pp. 4741-4748
  • [J] Piqué, F., Kalidindi, H.T., Fruzzetti, L., Laschi, C., Menciassi, A., Falotico, E. (2022). Controlling Soft Robotic Arms Using Continual Learning. IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5469-5476, doi: 10.1109/LRA.2022.3157369
  • [J] Fasano, A., Mazzoni, A., Falotico, E. (2022). Reaching and Grasping Movements in Parkinson’s Disease: A Review.  Journal of Parkinson's Disease, 1 Jan. 2022, pp. 1 – 31, doi: 10.3233/JPD-213082

2021

  • [C] Villani, M., Vannucci, L., Fasano, A., Laschi, C., & Falotico, E. (2021). Modeling Vestibular Afferents for Neuromorphic Sensing and Eye Movement Control. In International Conference on Robot Intelligence Technology and Applications (pp. 142-153). doi: 10.1007/978-3-030-97672-9_13
  • [C] Centurelli, A., Rizzo, A., Tolu, S., Falotico, E. (2021). Open-loop Model-free Dynamic Control of a Soft Manipulator for Tracking Tasks. In 20th International Conference on Advanced Robotics (ICAR), 2021, pp. 128-133. doi: 10.1109/ICAR53236.2021.9659370
  • [J] Kalidindi, H. T., Cross, K. P., Lillicrap, T. P., Omrani, M., Falotico, E., Sabes, P. N., & Scott, S. H. (2021). Rotational dynamics in motor cortex are consistent with a feedback controller. eLife, 10, e67256. 10.7554/eLife.67256
  • [J] George Thuruthel, T., Falotico, E., Beccai, L., & Iida, F. (2021). Machine Learning Techniques for Soft Robots. Frontiers in Robotics and AI, 8, 205. 10.3389/frobt.2021.726774
  • [J] Baghdadi, G., Amiri, M., Falotico, E., & Laschi, C. (2021). Recurrence quantification analysis of EEG signals for tactile roughness discrimination. International Journal of Machine Learning and Cybernetics, 12(4), 1115-1136. 10.1007/s13042-020-01224-1
  • [J] Kirtay, M., Vannucci, L., Albanese, U., Laschi, C., Oztop, E., & Falotico, E. (2021). Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task. Adaptive Behavior, 29(1), 55-71. 10.1177/1059712319880649
  • [J] Parvizi-Fard, A., Salimi-Nezhad, N., Amiri, M., Falotico, E., & Laschi, C. (2021). Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors. Scientific reports, 11(1), 1-13. 10.1038/s41598-021-81199-3
  • [J] Muñoz, J., Piqué, F., A Monje, C., & Falotico, E. (2021). Robust Fractional-Order Control Using a Decoupled Pitch and Roll Actuation Strategy for the I-Support Soft Robot. Mathematics, 9(7), 702. 10.3390/math9070702

2020

  • [C] Piqué, F., Kalidindi, H. T., Menciassi, A., Laschi, C., & Falotico, E. (2020, December). A Learning-based Approach for Adaptive Closed-loop Control of a Soft Robotic Arm. In Proceedings of the I-RIM 3D Conference, online (pp. 10-12). 10.5281/zenodo.4781427
  • [J] Kalidindi, H. T., Vannucci, L., Laschi, C., & Falotico, E. (2020). Cerebellar adaptive mechanisms explain the optimal control of saccadic eye movements. Bioinspiration & Biomimetics, 16(1), 016004. 10.1088/1748-3190/abae7f
  • [C] Kirtay, M., Albanese, U., Vannucci, L., Schillaci, G., Laschi, C., & Falotico, E. (2020, October). The iCub multisensor datasets for robot and computer vision applications. In Proceedings of the 2020 International Conference on Multimodal Interaction (pp. 685-688). 10.1145/3382507.3418847
  • [J] Allegra Mascaro, A. L., Falotico, E., Petkoski, S., Pasquini, M., Vannucci, L., Tort-Colet, N., ... & Pavone, F. S. (2020). Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience. Frontiers in Systems Neuroscience, 14, 31. 10.3389/fnsys.2020.00031
  • [B] Falotico, E., & Kalidindi, H. T. (2020). Neurorobotics: Motor control principles for robots. Neurorobotics: Motor control principles for robots, 243-263. 9788855534901
  • [J] Kalidindi, H. T., Cross, K. P., Lillicrap, T. P., Omrani, M., Falotico, E., Sabes, P. N., & Scott, S. H. (2020). Rotational dynamics in motor cortex are consistent with a feedback controller. bioRxiv. 10.1101/2020.11.17.387043
  • [J] Tolu, S., Capolei, M. C., Vannucci, L., Laschi, C., Falotico, E., & Hernández, M. V. (2020). A cerebellum-inspired learning approach for adaptive and anticipatory control. International journal of neural systems, 30(01), 1950028. 10.1142/S012906571950028X

Tesi di Laurea Magistrale