IEEE ICMA 2015: Difference between revisions
Created page with "{{Event |Acronym=IEEE ICMA 2015 |Title=2015 IEEE International Conference on Mechatronics and Automation |Series=IEEE ICMA |Type=Conference |Field=Manufacturing |Start date=20..." |
No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
| Line 15: | Line 15: | ||
}} | }} | ||
==Topics== | ==Topics== | ||
* Intelligent mechatronics, robotics, biomimetics, automation, control systems | |||
* Opto-electronic elements and Materials, laser technology, and laser processing | |||
* Elements, structures, mechanisms, and applications of micro, and nano systems | |||
* Teleoperation, telerobotics, haptics, and teleoperated semi-autonomous systems | |||
* Sensor design, multi-sensor data fusion algorithms, and wireless sensor networks | |||
* Biomedical and rehabilitation engineering, prosthetics, and artificial organs | |||
* Control system modeling and simulation techniques and methodologies | |||
* AI, intelligent control, neuro-control, fuzzy control, and their applications | |||
* Industrial automation, process control, manufacturing process, and automation | |||
Latest revision as of 09:31, 26 July 2016
| IEEE ICMA 2015 | |
|---|---|
2015 IEEE International Conference on Mechatronics and Automation
| |
| Event in series | IEEE ICMA |
| Dates | 2015/08/02 (iCal) - 2015/08/05 |
| Homepage: | 2015.ieee-icma.org/ |
| Location | |
| Location: | Beijing, China |
| Papers: | Submitted 715 / Accepted 461 (64.5 %) |
| Table of Contents | |
Topics
- Intelligent mechatronics, robotics, biomimetics, automation, control systems
- Opto-electronic elements and Materials, laser technology, and laser processing
- Elements, structures, mechanisms, and applications of micro, and nano systems
- Teleoperation, telerobotics, haptics, and teleoperated semi-autonomous systems
- Sensor design, multi-sensor data fusion algorithms, and wireless sensor networks
- Biomedical and rehabilitation engineering, prosthetics, and artificial organs
- Control system modeling and simulation techniques and methodologies
- AI, intelligent control, neuro-control, fuzzy control, and their applications
- Industrial automation, process control, manufacturing process, and automation