Xie, Z., Yuan, F., Liu, J., Tian, L., Chen, B., Fu, Z., Mao, S., Jin, T., Wang, Y., He, X. and Wang, G., 2023. Octopus-inspired sensorized soft arm for environmental interaction. Science Robotics, 8(84), p.eadh7852.
Li, G., Wong, T.W., Shih, B., Guo, C., Wang, L., Liu, J., Wang, T., Liu, X., Yan, J., Wu, B. and Yu, F., 2023. Bioinspired soft robots for deep-sea exploration. Nature Communications, 14(1), p.7097.
Nazeer, M.S., Laschi, C. and Falotico, E., 2023. Soft DAgger: Sample-Efficient Imitation Learning for Control of Soft Robots. Sensors, 23(19), p.8278.
Laschi, C., 2023, October. Modeling embodied intelligence: can we capture its essence by modeling internal and external interactions?. In IOP Conference Series: Materials Science and Engineering (Vol. 1292, No. 1, p. 012001). IOP Publishing.
Nazeer, M.S., Laschi, C. and Falotico, E., 2023, October. Imitation and reinforcement learning to control soft robots: a perspective. In IOP Conference Series: Materials Science and Engineering (Vol. 1292, No. 1, p. 012010). IOP Publishing.
Jitosho, R., Lum, T.G.W., Okamura, A. and Liu, K., 2023, December. Reinforcement Learning Enables Real-Time Planning and Control of Agile Maneuvers for Soft Robot Arms. In Conference on Robot Learning (pp. 1131-1153). PMLR.
Tang, R. and Ren, H., 2024. A Frequency-Modulated Tripedal Soft Magnetic Robot with Diverse Motion Modalities for Ingestible Applications. IEEE Robotics and Automation Letters.
Tang, Z., Wang, P., Xin, W., Xie, Z., Kan, L., Mohanakrishnan, M. and Laschi, C., 2023, May. Meta-learning-based optimal control for soft robotic manipulators to interact with unknown environments. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 982-988). IEEE.
Laschi, C., Thuruthel, T.G., Lida, F., Merzouki, R. and Falotico, E., 2023. Learning-Based Control Strategies for Soft Robots: Theory, Achievements, and Future Challenges. IEEE Control Systems Magazine, 43(3), pp.100-113.
Xie, Z., Mohanakrishnan, M., Wang, P., Liu, J., Xin, W., Tang, Z., Wen, L. and Laschi, C., 2023. Soft Robotic Arm with Extensible Stiffening Layer. IEEE Robotics and Automation Letters.
Nazeer, M.S., Bianchi, D., Campinoti, G., Laschi, C. and Falotico, E., 2023, April. Policy Adaptation using an Online Regressing Network in a Soft Robotic Arm. In 2023 IEEE International Conference on Soft Robotics (RoboSoft) (pp. 1-7). IEEE.
Donato, E., Ansari, Y.T., Laschi, C. and Falotico, E., 2023, April. Plant-inspired behavior-based controller to enable reaching in redundant continuum robot arms. In 2023 IEEE International Conference on Soft Robotics (RoboSoft) (pp. 1-6). IEEE.
Schillaci, G., Ciria, A., Falotico, E., Lara, B. and Laschi, C., 2023. Modulating Multi-Modal Integration in a Robot Forward Model for Sensory Enhancement and Self-Perception.
Bosio, C., Zrinscak, D., Laschi, C. and Cianchetti, M., 2023. Soft Mini Fuse Valve for Resilient Fluidically-Actuated Robots. IEEE Robotics and Automation Letters, 8(5), pp.2716-2723.
Xin, W., Zhu, F., Wang, P., Xie, Z., Tang, Z. and Laschi, C., 2023. Electrical impedance tomographic shape sensing for soft robots. IEEE Robotics and Automation Letters, 8(3), pp.1555-1562.
Laschi, C. and Mazzolai, B., 2022. Move imperceptibly. Nature Materials, 21(12), pp.1350-1351.
Pugnale, A., Stuart-Fox, D., Elgar, M.A., Laschi, C. and Dumanli, A.G., 2022. Biologically-informed approaches to design processes and applications. Frontiers in Ecology and Evolution, 10, p.1090859.
Nacci, A., Macerata, A., Bastiani, L., Paludetti, G., Galli, J., Marchese, M.R., Barillari, M.R., Barillari, U., Laschi, C., Cianchetti, M. and Manti, M., 2022. Evaluation of the electroglottographic signal variability in organic and functional dysphonia. Journal of Voice, 36(6), pp.881-e5.
Laschi, C., 2022, October. Embodied Intelligence in soft robotics: joys and sorrows. In IOP Conference Series: Materials Science and Engineering (Vol. 1261, No. 1, p. 012002). IOP Publishing.
Mengaldo, G., Renda, F., Brunton, S.L., Bächer, M., Calisti, M., Duriez, C., Chirikjian, G.S. and Laschi, C., 2022. A concise guide to modelling the physics of embodied intelligence in soft robotics. Nature Reviews Physics, 4(9), pp.595-610.
Mazzolai, B., Mondini, A., Del Dottore, E., Margheri, L., Carpi, F., Suzumori, K., Cianchetti, M., Speck, T., Smoukov, S.K., Burgert, I. and Keplinger, T., 2022. Roadmap on soft robotics: multifunctionality, adaptability and growth without borders. Multifunctional Materials, 5(3), p.032001.
Salvador, J.P., Marco, M.P., Saviozzi, G., Laschi, C., Arreza, F., Palacio, F. and Lopez, M., 2022. Portable flow multiplexing device for continuous, in situ biodetection of environmental contaminants. Sensing and Bio-Sensing Research, 37, p.100505.
Wang, P., Tang, Z., Xin, W., Xie, Z., Guo, S. and Laschi, C., 2022. Design and experimental characterization of a push-pull flexible rod-driven soft-bodied robot. IEEE Robotics and Automation Letters, 7(4), pp.8933-8940.
Bianchi, D., Antonelli, M., Laschi, C. and Falotico, E., 2022, July. Open-loop control of a soft arm in throwing tasks. In 19th International Conference on Informatics in Control, Automation and Robotics (pp. 138-145).
Tang, Z., Wang, P., Xin, W. and Laschi, C., 2022. Learning-Based Approach for a Soft Assistive Robotic Arm to Achieve Simultaneous Position and Force Control. IEEE Robotics and Automation Letters, 7(3), pp.8315-8322.
Cianchetti, M., Manti, M., Calisti, M. and Laschi, C., 2022. Soft Robotics. In Rapid Roboting: Recent Advances on 3D Printers and Robotics (pp. 115-136). Cham: Springer International Publishing.
Piqué, F., Kalidindi, H.T., Fruzzetti, L., Laschi, C., Menciassi, A. and Falotico, E., 2022. Controlling soft robotic arms using continual learning. IEEE Robotics and Automation Letters, 7(2), pp.5469-5476.
Aguzzi, J., Flögel, S., Marini, S., Thomsen, L., Albiez, J., Weiss, P., Picardi, G., Calisti, M., Stefanni, S., Mirimin, L. and Vecchi, F., 2022. Developing technological synergies between deep-sea and space research. Elem Sci Anth, 10(1), p.00064.
Centurelli, A., Arleo, L., Rizzo, A., Tolu, S., Laschi, C. and 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.
Laschi, C., 2022. Bioinspiration & Biomimetics: a unique multidisciplinary forum for the progress of science and technology. Bioinspiration & Biomimetics, 17(1), p.010201.
Donato, E., Ansari, Y.T., Laschi, C. and Falotico, E., 2022. To Enabling Plant-like Movement Capabilities in Continuum Arms.
Salvador Vico, J.P., Colás, M., Pilar, M., Saviozzi, G., Laschi, C., Arreza Martín, F.J., Palacio Bonet, F. and López de Miguel, M., 2022. Portable flow multiplexing device for continuous, in situ biodetection of environmental contaminants. Sensing and Bio-Sensing Research, 2022, vol. 37, p. 100505.
Laschi, C., 2022. The Physics of Interactions in Soft Robotics. In APS March Meeting Abstracts (Vol. 2022, pp. K03-001).
Chellapurath, M., Walker, K.L., Donato, E., Picardi, G., Stefanni, S., Laschi, C., Giorgio-Serchi, F. and Calisti, M., 2021. Analysis of station keeping performance of an underwater legged robot. IEEE/ASME Transactions on Mechatronics, 27(5), pp.3730-3741.
Villani, M., Vannucci, L., Fasano, A., Laschi, C. and Falotico, E., 2021, December. Modeling Vestibular Afferents for Neuromorphic Sensing and Eye Movement Control. In International Conference on Robot Intelligence Technology and Applications (pp. 142-153). Cham: Springer International Publishing.
Yang, G.Z., Collins, S.H., Dario, P., Fischer, P., Goldberg, K., Laschi, C. and McNutt, M.K., 2021. Five years of science robotics. Science Robotics, 6(61), p.eabn2720.
Sciutti, A., Battaglia, F., Fossati, M.R., Calderai, V., Catalano, M.G., Antonelli, G., Di Nunzio, G.M., Dubbini, N., Giarré, L., Menegatti, E. and Negrello, F., 2021. Making an opportunity out of a crisis: the inclusive approach of the italian robotics community. IEEE Robotics & Automation Magazine, 28(4), pp.79-91.
Zaidi, S., Maselli, M., Laschi, C. and Cianchetti, M., 2021. Actuation technologies for soft robot grippers and manipulators: A review. Current Robotics Reports, 2(3), pp.355-369.
Monje Micharet, C.A. and Laschi, C., 2021. Advances in modeling and control of soft robots. Frontiers in Robotics and AI, 8, p.706514.
Conte, A., Maselli, M., Nacci, A., Manti, M., Galli, J., Paludetti, G., Ursino, F., Laschi, C. and Cianchetti, M., 2021. Conductive silicone vocal folds reproducing electroglottographic signal in pathophysiological conditions. IEEE Transactions on Medical Robotics and Bionics, 3(2), pp.337-348.
Laschi, C. and Wood, R.J., 2021. Smarter materials for smarter robots. Science Robotics, 6(53), p.eabh4443.
Trovato, G., Ricotti, L., Laschi, C., Zecca, M., Cosentino, S., Bartolomeo, L., Hashimoto, S., Takanishi, A. and Dario, P., 2021. The Italy–Japan Workshop: A History of Bilateral Cooperation, Pushing the Boundaries of Robotics. IEEE Robotics & Automation Magazine, 28(3), pp.150-162.
George Thuruthel, T., Picardi, G., Iida, F., Laschi, C. and Calisti, M., 2021. Learning to stop: a unifying principle for legged locomotion in varying environments. Royal Society Open Science, 8(4), p.210223.
Laschi, C. and Mazzolai, B., 2021. Bioinspired materials and approaches for soft robotics. Mrs Bulletin, 46, pp.345-349.
Baghdadi, G., Amiri, M., Falotico, E. and Laschi, C., 2021. Recurrence quantification analysis of EEG signals for tactile roughness discrimination. International Journal of Machine Learning and Cybernetics, 12, pp.1115-1136.
Siciliano, B., Laschi, C. and Khatib, O. eds., 2021. Experimental Robotics: The 17th International Symposium (Vol. 19). Springer Nature.
Laschi, C. and Calisti, M., 2021. Soft robot reaches the deepest part of the ocean.
Kirtay, M., Vannucci, L., Albanese, U., Laschi, C., Oztop, E. and 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), pp.55-71.
Parvizi-Fard, A., Salimi-Nezhad, N., Amiri, M., Falotico, E. and Laschi, C., 2021. Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors. Scientific reports, 11(1), p.2109.
Reis, J.C., Manti, M., Falotico, E. and Laschi, C., 2021. Experiments on Oscillation Control of a Continuum Soft Robotic Manipulator. In Proceedings of the 14th International Conference on Vibration Problems: ICOVP 2019 (pp. 557-571). Springer Singapore.
Picardi, G., Hauser, H., Laschi, C. and Calisti, M., 2021. Morphologically induced stability on an underwater legged robot with a deformable body. The International Journal of Robotics Research, 40(1), pp.435-448.
Piqué, F., Kalidindi, H.T., Menciassi, A., Laschi, C. and 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).
Lacoponi, S., Calisti, M. and Laschi, C., 2020. Simulation and analysis of microspines interlocking behavior on rocky surfaces: an in-depth study of the isolated spine. Journal of Mechanisms and Robotics, 12(6), p.061016.
Kalidindi, H.T., Vannucci, L., Laschi, C. and Falotico, E., 2020. Cerebellar adaptive mechanisms explain the optimal control of saccadic eye movements. Bioinspiration & Biomimetics, 16(1), p.016004.
Kirtay, M., Albanese, U., Vannucci, L., Schillaci, G., Laschi, C. and 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).
Liu, J., Iacoponi, S., Laschi, C., Wen, L. and Calisti, M., 2020. Underwater mobile manipulation: A soft arm on a benthic legged robot. IEEE Robotics & Automation Magazine, 27(4), pp.12-26.
Thuruthel, T.G., Abidi, S.H., Cianchetti, M., Laschi, C. and Falotico, E., 2020, August. A bistable soft gripper with mechanically embedded sensing and actuation for fast grasping. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 1049-1054). IEEE.
Chellapurath, M., Stefanni, S., Fiorito, G., Sabatini, A.M., Laschi, C. and Calisti, M., 2020. Locomotory behaviour of the intertidal marble crab (Pachygrapsus marmoratus) supports the underwater spring-loaded inverted pendulum as a fundamental model for punting in animals. Bioinspiration & Biomimetics, 15(5), p.055004.
Picardi, G., Chellapurath, M., Iacoponi, S., Stefanni, S., Laschi, C. and Calisti, M., 2020. Bioinspired underwater legged robot for seabed exploration with low environmental disturbance. Science Robotics, 5(42), p.eaaz1012.
Yavari, F., Amiri, M., Rahatabad, F.N., Falotico, E. and Laschi, C., 2020. Spike train analysis in a digital neuromorphic system of cutaneous mechanoreceptor. Neurocomputing, 379, pp.343-355.
Meucci, P., Zampini, L., Giovannetti, A.M., Quadraroli, A., D’Arrigo, A.V., Riva, D., Vago, C., Bulgheroni, S., Cecchi, F., Mannari, I. and Falotico, F.P., 2020. The challenge of studying interaction in children with autism spectrum disorder during play activity with a robotic platform. Journal of Developmental and Physical Disabilities, 32, pp.113-129.
Tolu, S., Capolei, M.C., Vannucci, L., Laschi, C., Falotico, E. and Hernández, M.V., 2020. A cerebellum-inspired learning approach for adaptive and anticipatory control. International journal of neural systems, 30(01), p.1950028.
Mazzolai, B. and Laschi, C., 2020. A vision for future bioinspired and biohybrid robots. Science robotics, 5(38), p.eaba6893.
Salimi-Nezhad, N., Ilbeigi, E., Amiri, M., Falotico, E. and Laschi, C., 2020. A digital hardware system for spiking network of tactile afferents. Frontiers in neuroscience, 13, p.1330.
Mazzolai, B., Margheri, L. and Laschi, C., 2020. Quantitative measurements of Octopus vulgaris arms for bioinspired soft robotics. Metrics of Sensory Motor Coordination and Integration in Robots and Animals: How to Measure the Success of Bioinspired Solutions with Respect to their Natural Models, and Against More ‘Artificial’Solutions?, pp.3-14.
