1 option
Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability : Proceedings of FAIM 2025, June 21–24, 2025, New York City, NY, USA, Volume 1 / edited by Krishnaswami Srihari, Mohammad T. Khasawneh, Sangwon Yoon, Daehan Won.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Srihari, Krishnaswami.
- Series:
- Lecture Notes in Mechanical Engineering, 2195-4364
- Language:
- English
- Subjects (All):
- Automatic control.
- Robotics.
- Automation.
- Manufactures.
- Industrial management.
- Control, Robotics, Automation.
- Machines, Tools, Processes.
- Industrial Management.
- Local Subjects:
- Control, Robotics, Automation.
- Machines, Tools, Processes.
- Industrial Management.
- Physical Description:
- 1 online resource (1014 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book reports on cutting-edge research and developments in manufacturing, giving a special emphasis to intelligent, agile and sustainable solutions. It covers applications of machine learning in manufacturing and advances in cyber-physical systems, human-robot collaboration, and machine tools and assembly systems. It also reports on advances in logistics and supply chain, and lean manufacturing. Based on the proceedings of the 33rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2025), held on 21–24, 2025, in New York City, NY, USA, this first volume of a 2-volume set provides academics and professionals with extensive, technical information on trends and technologies in manufacturing, yet it also discusses challenges and practice-oriented experience in all the above-mentioned areas.
- Contents:
- Low-temperature Sintering Study for Aerosol Jet Printed Flexible Electronics Across Diverse Substrates
- Heuristic Procedure for Process and Setup Planning of Features with Multiple Processing Requirements and Alternative Processes
- Data-driven Process Planning for Machining of Additively Manufactured Components.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032076755
- OCLC:
- 1564378282
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.