Medical Robotics and Interactive Intelligent Technologies (MERIIT@NYU) Laboratory

New York University

+1 (646)997-3541
370 Jay Street #904, Brooklyn, NY 11201
Email: f.atashzar@nyu.edu

The mission of the MERIIT Lab is to develop Intelligent human-centered Robotic Systems, neural interfaces, Advanced Control Modules, Bio-Signal Processing Algorithms, and Smart Wearables to augment human capabilities beyond natural competence. A particular focus of the lab is on interactive Neuro-Rehabilitation Robotic and Surgical Robotic systems. The lab hosts state-of-the-art human-machine interface technologies to exploit bidirectional interactions that allow humans to overcome natural, physiological, and pathological barriers. MERIIT Lab is Part of NYU WIRELESS. Currently, MERIIT Lab has 9 Ph.D. students, one postdoctoral researcher, four master students, and a team of VIP undergraduate students.

MERIIT Lab & NYU WIRELESS (2021):

MERIIT Lab & NYU Agens of Optimism (2022):

Undergraduate VIP Team from MRIIT Lab Won NYU Tandon Research Exhibition Best Team Award (2022):

MERIIT talks at IROS2022:

Highlight: Fighting hand tremors: First comes AI, then robots

Link:

To develop advanced rehabilitation and assistive robotic technologies for patients wit pathological hand tremor (PHT), accurate estimation and prediction of nonstationary PHT is critical. However, the required level of accuracy and latency has not yet been achieved. The lack of sizable datasets and generalizable modeling techniques that can fully represent the spectrotemporal characteristics of PHT have been a critical bottleneck in attaining this goal. This work addresses this unmet need through establishing a deep recurrent neural network model to predict and eliminate the PHT component of hand motion. More specifically, we propose a machine learning-based, assumption-free, and real-time PHT elimination framework, the PHTNet, by incorporating deep bidirectional recurrent neural networks. The PHTNet is the first intelligent systems model developed on this scale for PHT elimination that maximizes the resolution of estimation and allows for prediction of future and upcoming sub-movements.

We Are MERIIT Lab

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