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Filippo Sanfilippo
Filippo Sanfilippo
Top 2% Scientist, Professor, Dept. of Engineering Sciences, University of Agder
Подтвержден адрес электронной почты в домене uia.no - Главная страница
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Процитировано
Процитировано
Год
Perception-driven obstacle-aided locomotion for snake robots: the state of the art, challenges and possibilities
F Sanfilippo, J Azpiazu, G Marafioti, AA Transeth, Ø Stavdahl, P Liljebäck
Applied Sciences 7 (4), 336, 2017
882017
A perspective review on integrating VR/AR with haptics into STEM education for multi-sensory learning
F Sanfilippo, T Blazauskas, G Salvietti, I Ramos, S Vert, J Radianti, ...
Robotics 11 (2), 41, 2022
802022
Controlling Kuka industrial robots: Flexible communication interface JOpenShowVar
F Sanfilippo, LI Hatledal, H Zhang, M Fago, KY Pettersen
IEEE robotics & automation magazine 22 (4), 96-109, 2015
792015
Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review
MH Zafar, EF Langås, F Sanfilippo
Robotics and Computer-Integrated Manufacturing 89, 102769, 2024
722024
A sensor fusion wearable health-monitoring system with haptic feedback
F Sanfilippo, KY Pettersen
Proc. of the 11th IEEE International Conference on Innovations in …, 2015
712015
Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability
SMS Bukhari, MH Zafar, M Abou Houran, SKR Moosavi, M Mansoor, ...
Ad Hoc Networks 155, 103407, 2024
632024
An Effective Heave Compensation and Anti-sway Control Approach for Offshore Hydraulic Crane Operations
Y Chu, F Sanfilippo, V Æsøy, H Zhang
Proc. of the IEEE International Conference on Mechatronics and Automation …, 2014
582014
A multi-sensor fusion framework for improving situational awareness in demanding maritime training
F Sanfilippo
Reliability Engineering & System Safety 161, 12-24, 2017
512017
Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
MH Zafar, NM Khan, M Mansoor, AF Mirza, SKR Moosavi, F Sanfilippo
Energy Conversion and Management 258, 115564, 2022
492022
JOpenShowVar: an Open-Source Cross-Platform Communication Interface to Kuka Robots
F Sanfilippo, LI Hatledal, H Zhang, M Fago, KY Pettersen
Proc. of the IEEE International Conference on Information and Automation …, 2014
492014
Optimisation of Boids Swarm Model Based on Genetic Algorithm and Particle Swarm Optimisation Algorithm (Comparative Study)
S Alaliyat, H Yndestad, F Sanfilippo
Proc. of the 28th European Conference on Modelling and Simulation (ECMS …, 2014
442014
Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles
MH Zafar, M Mansoor, M Abou Houran, NM Khan, K Khan, SKR Moosavi, ...
Energy 282, 128317, 2023
412023
A Review on Perception-driven Obstacle-aided Locomotion for Snake Robots
F Sanfilippo, J Azpiazu, G Marafioti, AA Transeth, Ø Stavdahl, P Liljebäck
Proc. of the 14th International Conference on Control, Automation, Robotics …, 2016
382016
Efficient modular grasping: An iterative approach
F Sanfilippo, G Salvietti, H Zhang, HP Hildre, D Prattichizzo
Proc. of the 4th IEEE RAS & EMBS International Conference on Biomedical …, 2012
352012
Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters
MH Zafar, SMS Bukhari, M Abou Houran, SKR Moosavi, M Mansoor, ...
Energy Reports 10, 3001-3019, 2023
342023
Robotics in search and rescue (sar) operations: An ethical and design perspective framework for response phase
H Chitikena, F Sanfilippo, S Ma
Applied Sciences 13 (3), 1800, 2023
342023
A review of the state-of-the-art of assistive technology for people with ASD in the workplace and in everyday life
LJ Wali, F Sanfilippo
Digital Transformation for a Sustainable Society in the 21st Century: 18th …, 2019
332019
Integrated Flexible Maritime Crane Architecture for the Offshore Simulation Centre AS (OSC): A Flexible Framework for Alternative Maritime Crane Control Algorithms
F Sanfilippo, LI Hatledal, A Styve, KY Pettersen, H Zhang
IEEE Journal of Oceanic Engineering, 1-12, 2015
322015
A novel hybrid deep learning model for accurate state of charge estimation of Li-Ion batteries for electric vehicles under high and low temperature
MH Zafar, NM Khan, M Abou Houran, M Mansoor, N Akhtar, F Sanfilippo
Energy 292, 130584, 2024
262024
A Universal Control Architecture for Maritime Cranes and Robots Using Genetic Algorithms as a Possible Mapping Approach
F Sanfilippo, LI Hatledal, HG Schaathun, KY Pettersen, H Zhang
Proc. of the IEEE International Conference on Robotics and Biomimetics …, 2013
262013
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