Výsledky vyhledávání - "Keyur D. Joshi"

Vision-Based Trajectory Planning for a Five Degree of Freedom Assistive Feeding Robotic Arm Using Linear Segments with Parabolic Blend and Cycloid Functions

Autor: Keyur D. Joshi, Reena Trivedi, Priyam Parikh

Publikováno v: Mechatronics and Machine Vision in Practice 4 ISBN: 9783030437022

In the recent era, sales of house hold robots are increasing due to their lesser cost and versatility. Trajectory planning plays a vital role in deciding the motion sequence of multiple degree of freedom robotic arms Trajectory planning can be done b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::345f63914d767ad5795da8df4648c2bb
https://doi.org/10.1007/978-3-030-43703-9_16

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A flexible machine vision system for small part inspection based on a hybrid SVM/ANN approach

Autor: Vedang Chauhan, Keyur D. Joshi, Brian Surgenor

Publikováno v: Journal of Intelligent Manufacturing. 31:103-125

Machine vision inspection systems are often used for part classification applications to confirm that correct parts are available in manufacturing or assembly operations. Support vector machines (SVMs) and artificial neural networks (ANNs) are popula

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a3ccfce30f1690bd7eb2347cb99f8a2
https://doi.org/10.1007/s10845-018-1438-3

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Trajectory planning of a 5 DOF feeding serial manipulator using 6th order polynomial method

Autor: Reena Trivedi, Keyur D. Joshi, Priyam Parikh

Publikováno v: Journal of Physics: Conference Series. 1921:012088

In the present era the importance of household and assistive robots has been increasing. Usually assistive robots are serial manipulators having degree of freedom more than three. In this paper a case of vertically downward 5 DOF assistive robots is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ea3f60aeec3903a38d4df6e5c4d98bd
https://doi.org/10.1088/1742-6596/1921/1/012088

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Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images

Autor: Vedang Chauhan, Brian Surgenor, Keyur D. Joshi

Publikováno v: Engineering Applications of Neural Networks ISBN: 9783030202569
EANN

Deep learning is a subset of machine learning that is powerful at recognizing patterns and extensively used for image classification. However, it typically requires a large amount of data and it is computationally expensive for training an applicatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3be2f5fbe69355d7400411a9e28305b3
https://doi.org/10.1007/978-3-030-20257-6_23

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Small Parts Classification with Flexible Machine Vision and a Hybrid Classifier

Autor: Keyur D. Joshi, Brian Surgenor

Publikováno v: M2VIP

A Flexible Machine Vision (FMV) Inspection System has been developed that requires minimal retuning in hardware and software as applications are changed up. The flexibility of the system was evaluated by applying it to an inspection problem with thre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1af56e9cdce0eb47482585126739042e
https://doi.org/10.1109/m2vip.2018.8600819

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A low-cost machine vision system for the recognition and sorting of small parts

Autor: Keyur D. Joshi, Gustavo Barea, Vedang Chauhan, Brian Surgenor

Publikováno v: ICMV

An automated machine vision-based system for the recognition and sorting of small parts was designed, assembled and tested. The system was developed to address a need to expose engineering students to the issues of machine vision and assembly automat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8385e5574783a78989bb55bee85d667e
https://doi.org/10.1117/12.2309957

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