3rd EAI International Conference on Robotic Sensor Networks : ROSENET 2019

Yujie Li

ISBN 10: 3030460312 / ISBN 13: 9783030460310

Published by Springer, Berlin, Springer, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This proceedings presents the papers of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019). The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, The book discusses how the explosive number of network models and increasing computational power of computers significantly extends the number of potential applications for robotic technologies while also bringing new challenges to each network's community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place August 17, 2019, Kitakyushu, Japan.Presents the proceedings of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019),August 17, 2019, Kitakyushu, JapanFeatures papers on robotic technologies for healthcare, medicine, military and moreIncludes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals.

Seller Inventory # 9783030460310

Bibliographic Details

• Title: 3rd EAI International Conference on Robotic Sensor Networks : ROSENET 2019
• Publisher: Springer, Berlin, Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 3030460312
• ISBN 13: 9783030460310
• Binding: Buch
• Condition: Neu
• Dimensions: 243W x 173H x 15D millimeters 243 millimeters width by 173 millimeters height by 15 millimeters depth
• Weight: 280 grams

About this title

Synopsis

This proceedings presents the papers of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019).  The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, The book discusses how the explosive number of network models and increasing computational power of computers significantly extends the number of potential applications for robotic technologies while also bringing new challenges to each network's community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place August 17, 2019, Kitakyushu, Japan.

• Presents the proceedings of the 3rd EAI International Conference on Robotic Sensor Networks (ROSENET 2019),August 17, 2019, Kitakyushu, Japan
• Features papers on robotic technologies for healthcare, medicine, military and more
• Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals

About the Author

Yujie Li received the B.S. degree in Computer Science and Technology from Yangzhou University in 2009. She received M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2012, respectively. She received a Ph.D. degree from Kyushu Institute of Technology in 2015. From 2016 to 2017, she was a Lecturer in Yangzhou University. Currently, she is a JSPS research fellow (FPD) at Kyushu Institute of Technology and an Assistant Professor in Fukuoka University, Japan. Her research interests include computer vision, sensors, and image segmentation.

 

Huimin Lu received a B.S. degree in Electronics Information Science and Technology from Yangzhou University in 2008. He received M.S. degrees in Electrical Engineering from Kyushu Institute of Technology and Yangzhou University in 2011. He received a Ph.D. degree in Electrical Engineering from Kyushu Institute of Technology in 2014. From 2013 to 2016, he was a JSPS research fellow (DC2, PD, and FPD) at Kyushu Institute of Technology. From 2017 to 2019, he was an assistant professor in Kyushu Institute of Technology, Japan. Currently, he is an associate professor in Kyushu Institute of Technology and an Excellent Young Researcher of MEXT-Japan. His research interests include computer vision, robotics, artificial intelligence, and ocean observing.