Book Chapters
Published
2022
Scimeca, L., & Iida, F. (2022). Soft Robotics: A Developmental Approach, In Cognitive Robotics. The MIT Press. Retrieved from link
Journal Publications
Forthcoming
2023
Shorthose, O., Scimeca, L., Albini, A., and Maiolino, P. (2023). Exploiting Deep Learning to Achieve Multi-Grasp Pose-Invariant Object Recognition with a Soft Hand.
Published
2022
Scimeca, L., Hughes, J., Maiolino, P., He, L., Nanayakkara, T., & Iida, F. (2021). Action Augmentation of Tactile Perception for Soft-Body Palpation. Soft Robotics. Retrieved from link
2021
Costi, L., Scimeca, L., Maiolino, P., Lalitharatne, T. D., Nanayakkara, T., Hashem, R., & Iida, F. (2021). Comparative analysis of model-based predictive shared control for delayed operation in object reaching and recognition tasks with tactile sensing. Frontiers in Robotics and AI, 313. Retrieved from link
2021
Scimeca, L., Hughes, J., Maiolino, P., & Iida, F. (2021). Online Morphological Adaptation for Tactile Sensing Augmentation. Frontiers in Robotics and AI, 8. Retrieved from link
2020
Scimeca, L., Ng, C., & Iida, F. (2020). Gaussian Process inference modelling of dynamic robot control for expressive piano playing. PloS one, 15(8), e0237826. Retrieved from link
2020
Scimeca, L., Maiolino, P., Bray, E., & Iida, F. (2020). Structuring of tactile sensory information for category formation in robotics palpation. Autonomous Robots, 1-17. Retrieved from link
2020
He, L., Herzig, N., de Lusignan, S., Scimeca, L., Maiolino, P., Iida, F., & Nanayakkara, T. (2020). An Abdominal Phantom With Tunable Stiffness Nodules and Force Sensing Capability for Palpation Training. IEEE Transactions on Robotics.. Retrieved from link
2020
Hughes, J., Gilday, K., Scimeca, L., Garg, S., & Iida, F. (2020). Flexible, adaptive industrial assembly: driving innovation through competition. Intelligent Service Robotics, 13(1), 169-178. Retrieved from link
2019
Scimeca, L., Hughes, J., Maiolino, P., & Iida, F. (2019). Model-free soft-structure reconstruction for proprioception using tactile arrays. IEEE Robotics and Automation Letters, 4(3), 2479-2484. Retrieved from link
2018
Hughes, J., Scimeca, L., Ifrim, I., Maiolino, P., & Iida, F. (2018). Achieving robotically peeled lettuce. IEEE Robotics and Automation Letters, 3(4), 4337-4342. Retrieved from link
2017
Stone, T., Webb, B., Adden, A., Weddig, N. B., Honkanen, A., Templin, R., Wcislo, W., Scimeca, L., Warrant, E., & Heinze, S. (2017). An anatomically constrained model for path integration in the bee brain. Current Biology, 27(20), 3069-3085. Retrieved from link
Conference Proceedings
Published
2023
Shorthose, O., Albini, A., Scimeca, L., He, L., and Maiolino, P., 2023. EDAMS: An Encoder-Decoder Architecture for Multi-grasp Soft Sensing Object Recognition. In 2023 6th International Conference on Soft Robotics (RoboSoft 2023). Retrieved from link
2022
Scimeca, L., Oh, S.J., Chun, S., Poli, M. and Yun, S., 2021. Which shortcut cues will DNNs choose? a study from the parameter-space perspective. Advances in International Conference on Learning Representations (ICLR 2022). Retrieved from link
2021
Poli, M., Massaroli, S., Scimeca, L., Chun, S., Oh, S.J., Yamashita, A., Asama, H., Park, J. and Garg, A., 2021. Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions. Advances in Neural Information Processing Systems (NeurIPS 2021), 34. Retrieved from link
2020
Scimeca, L., & Iida, F. (2020, September). Self-supervised Learning Through Scene Observation for Selective Item Identification in Conveyor Belt Systems. In Annual Conference Towards Autonomous Robotic Systems (pp. 171-183). Springer, Cham. Retrieved from link
2020
Scimeca, L., Maiolino, P., & Iida, F. (2020, May). Efficient Bayesian exploration for soft morphology-action co-optimization. In 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft) (pp. 639-644). IEEE. Retrieved from link
2020
Scimeca, L., Iida, F., Maiolino, P., & Nanayakkara, T. (2020, March). Human-Robot Medical Interaction. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (pp. 660-661). Retrieved from link
2019
Scimeca, L., Maiolino, P., Cardin-Catalan, D., del Pobil, A. P., Morales, A., & Iida, F. (2019, May). Non-destructive robotic assessment of mango ripeness via multi-point soft haptics. In 2019 International Conference on Robotics and Automation (ICRA 2019) (pp. 1821-1826). IEEE. Retrieved from link
2018
Scimeca, L., Maiolino, P., & Iida, F. (2018, April). Soft morphological processing of tactile stimuli for autonomous category formation. In 2018 IEEE International Conference on Soft Robotics (RoboSoft 2018) (pp. 356-361). IEEE. Retrieved from link
Others
Published
2021
Scimeca, L., . Soft Morphological Computation. University of Cambridge. PhD Thesis. Retrieved from link