Book Chapters

Under Review (forthcoming)

  • Scimeca, L., & Iida, F. (forthcoming). Developmental Soft Robotics. MIT Press.

Journal Publications

Published

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., He, L., Nanayakkara, T., & Iida, F. (2021). Action Augmentation of Tactile Perception for Soft-Body Palpation. Soft Robotics. 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 Letters4(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

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. 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, 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) (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) (pp. 356-361). IEEE. Retrieved from link

Others

Published

2021

Scimeca, L., . Soft Morphological Computation. University of Cambridge. PhD Thesis. Retrieved from link