Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aswin K. Ramasubramanian"'
Publikováno v:
Sensors, Vol 24, Iss 2, p 578 (2024)
Tracking human operators working in the vicinity of collaborative robots can improve the design of safety architecture, ergonomics, and the execution of assembly tasks in a human–robot collaboration scenario. Three commercial spatial computation ki
Externí odkaz:
https://doaj.org/article/12db17db4fc14f97acfc2c51f8768e2c
Autor:
Aswin K. Ramasubramanian, Robins Mathew, Matthew Kelly, Vincent Hargaden, Nikolaos Papakostas
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 4811 (2022)
Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber–physical systems. These technologies can also support the creation of vi
Externí odkaz:
https://doaj.org/article/0f0d80d4c62145f4b90b801037f31745
Publikováno v:
Procedia CIRP-Conference on Manufacturing Systems
Edge AI technologies have emerged as a powerful solution for gathering and processing data in real-time, supporting the development of advanced applications for process monitoring, planning and control. Edge AI devices coupled with different sensory
Publikováno v:
Procedia CIRP
Mobile robotic platforms have become increasingly popular. Commercially available versions of mobile robots are designed to support human operators in typical production environments. They may be used for transferring parts from one place to another,
Publikováno v:
2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference.
Publikováno v:
CIRP Annals
The design of robotic gripper fingers is a complex process and often requires significant effort and time. This paper investigates a method to automatically generate new iterations of the gripper finger design as well as to validate its performance i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65c1fdaac6b98ea1df66e466e43bbaed
Robots have developed into highly capable machines that currently constitute an integral part of many manufacturing environments. The use of simulation platforms for designing and validating robotic processes are becoming increasingly important since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57de0d745970056aca8b90e8841410d7
Autor:
John Angelopoulos, Alexandre Dolgui, Paul Arthur Dreyfus, Bogdan I. Epureanu, Robert X. Gao, Andreas Gützlaff, Dmitry Ivanov, Tim Janke, Matthias Jarke, Dimitris Kiritsis, István Koren, Gisela Lanza, Xingyu Li, Zhi Li, Dimitris Mourtzis, Aydin Nassehi, Henning Neumann, Nikos Panopoulos, Nikolaos Papakostas, Mirco Peron, Sina Peukert, Foivos Psarommatis, Aswin K. Ramasubramanian, Günther Schuh, Fabio Sgarbossa, Panagiotis Stavropoulos, Gwen Louis Steier, Zonggui Tian, Jinjiang Wang, Lihui Wang, Ray Y. Zhong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a7feaf8b2e51c1633ba188f7bd21e7
https://doi.org/10.1016/b978-0-12-823657-4.09993-0
https://doi.org/10.1016/b978-0-12-823657-4.09993-0
Publikováno v:
Procedia CIRP
The operation of mobile manipulators in a collaborative environment needs to be adapted to the characteristics and skills of human operators. Human activity recognition, utilizing wearable sensors and vision systems, could be used to fine tune the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10086db55dcac81248feff45b90ffa0a