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M. E. Carney and H. Herr, "Electric-Energetic Consequences of Springs in Lower-Extremity Powered Prostheses on Varied Terrain," 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), New York City, NY, USA, 2020, pp. 989-996, doi: 10.1109/BioRob49111.2020.9224458.
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through a …
Interpreting human electroencephalogram (EEG) is a challenging task and requires years of medical training. We present a framework for lear…
We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact trac…
An improved method for magnet tracking enables high-speed wireless tracking through various materials.
Revealing insights into the human condition and repairing brain disorders via novel tools for mapping and fixing brain computations
Complex biological systems such as brain circuits are extended 3-D structures made out of nanoscale building blocks such as proteins, RNAs,…
Cells’ biomechanical responses to external stimuli have been intensively studied but rarely implemented into devices that interact wit…
Carney, Matthew E. “Design and Evaluation of a Reaction-Force Series Elastic Actuator Configurable as Biomimetic Powered Ankle and Knee Prostheses By.” Massachusetts Institute of Technology, 2020.
The extremely dextrous robot features a 24-joint human-hand-like design and took only four minutes to complete the task.
Alicia Lakey receives the Ewing Amputation procedure developed by the Biomechatronics group and Brigham and Women’s Hospital.
Media Lab spinoff company Figur8 has developed a cost-effective, portable system to measure and track human motion.
Biomechatronics researcher Tyler Clites and Synthetic Neurobiology researcher Fei Chen are among the 2019 Forbes 30 Under 30 honorees.
Will we all be cyborgs one day? Hugh Herr says he has the answer.
New device gives an amputee the ability to feel the location of his foot
J. Markowitz and H. Herr. Human Leg Model Predicts Muscle Forces, States, and Energetics during Walking, PLoS Computational Biology, vol. 5, no. 12, May. 2016.
"During the twilight years of this century, I believe humans will be unrecognizable in morphology and dynamics from what we are today."