A new paper has been published in the journal Energy Conversion and Management. The selected article is: Muhammad Hamza Zafar, Noman Mujeeb Khan, Majad Mansoor, Adeel Feroz Mirza, Syed Kumayl Raza Moosavi, Filippo Sanfilippo. Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems. Energy Conversion and Management, Volume 258, 2022, 115564, ISSN 0196-8904, https://doi.org/10.1016/j.enconman.2022.115564. This work is supported b
A new paper has been accepted for publication to the journal of Applied Sciences. The selected article is: Filippo Sanfilippo, Erlend Helgerud, Per Anders Stadheim and Sondre Lieblein Aronsen. Serpens: A Highly Compliant Low-Cost ROS-Based Snake Robot with Series Elastic Actuators, Stereoscopic Vision and a Screw-Less Assembly Mechanism. In: Applied Sciences 9.3 (2019). issn: 2076-3417. doi: 10.3390/app9030396. url: http://www.mdpi.com/2076-3417/9/3/396. I thank all my co-author, my students a
This project aims to develop new methods and tools to control snake robots for use in challenging real-life operations, in earthquake-hit areas, pipe inspection for oil and gas industry, fire-fighting operations and search and rescue. The research team is composed of some members from the Department of Engineering Cybernetics, NTNU, including Associate Professor Øyvind Stavdahl, Research Scientist Pål Liljebäck and Postdoctoral Fellow Filippo Sanfilippo. Other members of the research team are
This prize is not mine. I dedicate it to my hardworking students from the Real-Time Computer Programming course of the BSc Program in Automation Engineering, Department of Engineering and Natural Sciences, Aalesund University College. Third Prize at the IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2015), ocean paper poster competition.
This is a nice application project that I like to show to my students in order to trigger and give them some more motivation. It is a a project that I developed when I was a Msc student at the University of Siena. An iPhone is used to control the robot. Data coming from the iPhone's accelerometer are send to a server through Open Sound Control serial messages. When the server receives these messages, it applies inverse kinematics and calculates the joint angles' values. Finally, these angles