CV
| Since 10/2019 | Research Assistant, Hamburg University of Technology, Institute of Mechatronics in Mechanical Engineering |
| 10/2014 - 06/2019 | Ph. D. Student, Mechanical Engineering, Tarbiat Modares University, Tehran, Iran |
| 08/2018 - 03/2019 | Researcher at Braunschweig University, Braunschweig, Germany |
| 10/2011 - 08/2014 | M. Sc. Student, Mechanical Engineering, Tehran University, Tehran, Iran |
| 08/2008 - 06/2018 | R&D Researcher and Designer as project works |
| 08/2010 - 11/2010 | Internship at Sarma Sazan Co. |
| 10/2006 - 09/2010 | B.Sc. Student, Mechanical Engineering, Mazandaran University, Babol, Iran |
| 10/2002 - 09/2006 | Studying at Nodet: National Organization for Development of Exceptional Talents, High School, Amol, Iran |
Some of Publications
| [152280] |
| Title: Adaptive Fuzzy Sliding Mode Controller Design for a New Hand Rehabilitation Robot.. |
| Written by: moshaei, AlirezaAbbasi, and Moghaddam, Majid Mohammadi and Thorsten A. Kern |
| in: <em>International Conference on Human Haptic Sensing and Touch Enabled Computer Applications. Springer, Cham</em>. (2020). |
| Volume: <strong>57</strong>. Number: |
| on pages: 112-119 |
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| Type: Conference Paper |
| DOI: 10.22059 |
| URL: https://link.springer.com/chapter/10.1007/978-3-030-58147-3_56 |
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Note:
Abstract: Hand rehabilitation is one of the most important rehabilitation procedures. Due to the repetitive nature of rehabilitation training, a full robotic system could help the physiotherapists to gain time for creating new training schemes for a larger number of patients. Such a system can be based on live or recorded data and consists of the operator-device, patient-device, and control mechanism. This paper focuses on the design of the patient-device and its control-system in a decoupled training scenario. It presents a robot for hand rehabilitation training fingers and wrist independently based on only two actuators. These two actuators are configurable to allow consecutive training on the wrist and all joints of the fingers. To overcome uncertainties and disturbances, a sliding mode controller has been designed and an adaptive fuzzy sliding mode controller is used to reduce the chattering effects and compensate the varying forces of the patients. The experimental results show an approximate 80 percent improvement in tracking the desired trajectory by the adaptation.} number={2
