Flexible AI-enabled Mechatronic Systems Lab (FAMS)
Soft and bio-inspired mechatronic systems could effectively deal with uncertain or constrained environments while maximizing the users’ safety. For example, the development of soft robotic structures faces a number of scientific challenges, including material selection, fabrication techniques, and kinematic simulation. There are currently big knowledge gaps in the fabrication, control, and application of versatile soft robotic platforms. (Reference: www.ieee-ras.org/soft-robotics)
The primary goal is to develop interactive robotic systems for industrial and educational applications. The main focuses are surgical, after-surgical rehabilitation, and wearable devices for enhancing accessibility. We also look into the educational aspect of robotic systems for college and K-12 students.
Subteams
- Hardware
- Software
- Quality Control and Documentation
Majors and Areas of Interest
- Chemical Engineering
- Mechanical Engineering
- Computer Engineering/Science
- Electrical Engineering
- Materials Engineering
- Biomedical Engineering
- All majors are welcome!
Methods and Technologies
- Finite Element Analysis (Abaqus, etc.)
- Arduino and Raspberry Pi
- Stereolithography 3D Printing
- CNC machinery
- Injection molding
- Pneumatic actuation
- Computer vision
- Soft or Shape memory materials
- Wireless communication
Partners
- NYU Tandon School of Engineering
- NYU Tandon Makerspace
- National Institute of Health Clinical Center
- NSF VentureWell
- NSF ICORP
Primary Instructors
- Rui Li (NYU Tandon)
- Email: rui.li@nyu.edu