Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Nicholas M. Difilippo"'
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6301 (2024)
This paper investigates varying the operating conditions of a neural network in a robotic system using a low-cost webcam to achieve optimal settings in order to detect crossed-recess screws on laptops, a necessary step in the realization of automated
Externí odkaz:
https://doaj.org/article/9beac22661cc4a74bfab3d9c98e538e8
Publikováno v:
Array, Vol 12, Iss , Pp 100094- (2021)
Fastener detection is a necessary step for computer vision (CV) based robotic disassembly and servicing applications. Deep learning (DL) provides a robust approach for creating CV models capable of generalizing to diverse visual environments. Such DL
Externí odkaz:
https://doaj.org/article/97427b4e18be45b3b27c8deb7fa68abd
Publikováno v:
Journal of Manufacturing Systems. 59:398-412
Electric vehicles (EV) offer an environment friendly solution to transportation and there are predictions for high sales of EVs in future. The most expensive parts of those vehicles are their batteries which need to be recycled after use. Currently,
Autor:
Sheila Russo, Nicholas M. DiFilippo, Ehab Billatos, Max McCandless, Ashlyn Carroll, Alexander Perry
Publikováno v:
Soft robotics. 9(4)
Lung cancer is one of the deadliest forms of cancers and is often diagnosed by performing biopsies with the use of a bronchoscope. However, this diagnostic procedure is limited in ability to explore deep into the periphery of the lung where cancer ca
Autor:
Nicholas M. DiFilippo, Musa Jouaneh
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 16:767-780
This paper investigates an approach that uses the cognitive architecture Soar to improve the performance of an automated robotic system, which uses a combination of vision and force sensing to remove screws from laptop cases. Soar’s long-term memor
Autor:
Musa Jouaneh, Nicholas M. DiFilippo
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 15:887-895
This brief investigates the performance of an automated robotic system, which uses a combination of vision and force sensing to remove screws from the back of laptops. This robotic system uses two webcams, one that is fixed over the robot and the oth
Autor:
John D. Jones, Mark J. DiFilippo, Mohammad Faghri, Nicholas M. DiFilippo, Constantine Anagnostopoulos
Publikováno v:
Micro and Nanosystems. 7:108-115
Autor:
Musa Jouaneh, Nicholas M. DiFilippo
Publikováno v:
IEEE Sensors Journal. 15:4554-4564
This experimental study investigates the performance of three different models of the Microsoft Kinect sensor using the OpenNI driver from Primesense. The accuracy, repeatability, and resolution of the different Kinect models' abilities to determine
Publikováno v:
Tubercle. 62(2)
Two cases of empyema attributed to M. kansasii infection are described. Both patients died, despite chemotherapy.
Autor:
Nicholas M. DiFilippo
Publikováno v:
The American review of respiratory disease. 136(6)