S. Panicacci, G. Giuffrida, L. Baldanzi, L. Massari, G. Terruso, M. Zalteri, M. Filosa, G. Tonietti, C. M. Oddo, L. Fanucci: “Empowering deafblind communication capabilities by means of AI-based body parts tracking and remotely controlled robotic arm

G. Gianluca, G. Meoni, L. Fanucci. "A YOLOv2 Convolutional Neural Network-Based Human–Machine Interface for the Control of Assistive Robotic Manipulators." Applied Sciences 9.11 (2019): 2243.

M. Gabriele, G. Giuffrida, L. Fanucci. "A High Throughput Hardware Architecture for Parallel Recursive Systematic Convolutional Encoders." Information 10.4 (2019): 151.

V.S. Raghavan, D. Kanoulas, A. Laurenzi, D.G. Caldwell, N.G. Tsagarakis: "Variable Configuration Planner for Legged-Rolling Obstacle Negotiation Locomotion: Application on the CENTAURO Robot", IEEE/RSJ IROS 2019

Hybrid legged-wheeled robots are able to adapt their leg configuration and height to vary their footprint polygons and go over obstacles or traverse narrow spaces. In this paper, we present a variable configuration wheeled motion planner based on the...

V.Suryamurthy*, V.S. Raghavan*, A. Laurenzi, N.G. Tsagarakis, D. Kanoulas: " Terrain Segmenta-tion and Roughness Estimation using RGB Data: Path Planning Application on the CENTAURO Robot", IEEE-RAS Humanoids 2019

Robots operating in real world environments require a high-level perceptual understanding of the chief physical properties of the terrain they are traversing. In unknown environments, roughness is one such important terrain property that could play a...

S. Panicacci, G. Giuffrida, L. Baldanzi, L. Fanucci et al., "Empowering deafblind communication capabilities by means of AI-based body parts tracking and remotely controlled robotic arm for sign language speakers", ApplePies 2019

Deafblind people face remarkable challenges in communicating, because of their severe disability. The only way to interact with other people is the usage of the tactile sign language, which consists in understanding the sign language putting their...

S. Panicacci, M. Donati, L. Fanucci, I. Bellini, F. Profili, P. Francesconi, "Exploring machine learning algorithms to identify heart failure patients: the Tuscany region case study", 2019 IEEE 32nd CBMS

Heart failure patients have become an important challenge for the healthcare system, since they represent a medical, social and economic problem. Early heart failure diagnoses can be very useful to improve patients’ quality of life and to reduce the...

Enriching digital libraries with crowdsensed data.

SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and results...

Cresci, S., Minutoli, S., Nizzoli, L., Tardelli, S., & Tesconi, M. (2019, January). Enriching digital libraries with crowdsensed data. In Italian Research Conference on Digital Libraries (pp. 144-158). Springer, Cham.

SoBigData is a Research Infrastructure (RI) aiming to provide an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining. A key milestone of the project focuses on data, methods and results...

P. Balatti*, A. De Franco*, E. Lamon, E. De Momi, A. Ajoudani, "An Augmented Reality Interface for ImprovingTask Performance in Close-Proximity Teleoperation", in Italian Conference on Robotics and Intelligent Machines (I-RIM), 2019.

Abstract: Although teleoperation applications are mainly associated with robots operating in remote, far-off sites, a large number of tasks in the industrial field requires teleoperation because of their potential danger, such as management of toxic...

L. Fortini, P. Balatti, E. Lamon, E. De Momi, A. Ajoudani, "A Collaborative Robotic Approach to Gaze-based Upper-Limb Assisted Reaching", in 2019 IEEE IWOBI.

Abstract: Robotic treatment has been recognized as a powerful tool to face the consequences of neurological impairments such as stroke. Among several potential benefits, the possibility to program high-intensity and repetitive movements increased the...

N. Acito, M. Moscadelli, M. Diani, G. Corsini, "Subspace-based Target Detection in LWIR Hyperspectral Imaging", IEEE Geoscience and Remote Sensing Letters, DOI: 10.1109/LGRS.2019.2939751"

This letter presents a new method to detect materials with known spectral emissivity in data acquired by long-wave infrared hyperspectral sensors. The proposed approach differs from existing methods because it takes into account the uncertainty of the...

Delmastro, F., Dolciotti, C., La Rosa, D., Di Martino, F., Magrini, M., Coscetti, S., & Palumbo, F. Experimenting Mobile and e-Health Services with Frail MCI Older People. Information (2078-2489), 10(8),253, Aug. 2019

Abstract: The ageing population has become an increasing phenomenon world-wide, leading to a growing need for specialised help. Improving the quality of life of older people can lower the risk of depression and social isolation, but it requires a...

A. De Franco, E. Lamon, P. Balatti, E. De Momi, and A. Ajoudani, “An intuitive augmented reality interface for task scheduling, monitoring, and work performance improvement in human-robot collaboration”, in 2019 IEEE IWOBI.

Abstract: One of the open challenges in Human-Robot collaborative tasks is to provide a simple way for humans to understand robotic systems' plans and actions and to interact with them in the most natural way. Towards the direction of a natural...

E. Lamon, A. De Franco, L. Peternel, and A. Ajoudani, “A capability-aware role allocation approach to industrial assembly tasks”, IEEE Robotics and Automation Letters, vol. 4, no. 4, pp. 3378–3385, Oct 2019.

Abstract: The deployment of industrial robotic cells based on lean manufacturing principles enables the development of fast-reconfigurable assembly lines in which human and robotic agents collaborate to achieve a shared task. To ensure the effective...

L. Dello Sterpaio, A. Marino, P. Nannipieri, G. Dinelli, L. Fanucci, “AXI4LV: design and implementation of a full‑speed AMBA AXI4‑Burst interface for LabVIEW FPGA,” Applications in Electronics Pervading Industry Environment and Society (ApplePies), P

Abstract - The Advanced Microcontroller Bus Architecture Advanced eXtensible Interface is a memory mapped protocol intended for internal System on Chip communications. However, there is no mean to directly exchange data between AXI devices and LabVIEW...

L. Dello Sterpaio, A. Marino, P. Nannipieri, L. Fanucci, "Exploiting LabVIEW FPGA Socketed‑CLIP to design and implement soft‑core based complex digital architectures on PXI FPGA target boards", 2019 SMACD Conference, July 2019

Abstract — PXI FPGA Peripheral Modules by National Instruments are meant to be used in LabVIEW even without any previous knowledge of Hardware Description Languages (HDL) and let users to hardware-accelerate their own test and measurement setups....

L. Dello Sterpaio, P. Nannipieri, A. Marino, L. Fanucci, “Design of a SpaceWire/SpaceFibre EGSE system based on PXI industry standard,” IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace), Turin (IT), June 2019

This paper introduces a comprehensive test equipment for early adopters of the new ECSS satellite on-board serial high-speed communication protocol, SpaceFibre, maintaining also retro-compatibility with its precursor, SpaceWire. The presented system is...

A. Marino, L. Dello Sterpaio, L. Fanucci: "Design and implementation of a complete test equipment solution for SpaceWire links", 2018 14th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME), July 2018.

Spacecraft used in space mission have on-board a large number of peripherals such as instruments, mass-memory, downlink telemetry, sensors, actuators and processors. The State-Of-The-Art for the on-board spacecraft communication is the SpaceWire...

M. Wendt, A. Boccardi, T. Bogey, I. Degl’Innocenti, M. Barros Marin, A. Topaloudis. “Technology and first beam tests of the new CERN-SPS Beam Position System”, Proceedings of IBIC2019, Malmö, Sweden, September 2019.

The CERN Super Proton Synchrotron (SPS) uses 215 beam position monitors (BPMs) to observe the beam orbit when accelerating protons or ions on a fast ramp cycle to beam energies of up to 450 GeV/c. In the frame of the CERN LHC Injector Upgrade (LIU)...