BrainRobotics
Artificially Intelligent EMG Prosthetic Hand
Touch the future
Modular
Mechanical Design
Traditional prostheses have an integrated design that is vulnerable to damage. To solve this problem, our team has created a prosthetic hand with a modular mechanical design. It allows users to easily replace broken components without having to purchase an entirely new hand, which will greatly reduce maintenance costs.
Machine Learning
The BrainRobotics team has utilized multi-channel signal detection and an advanced machine learning algorithm to allow amputees to intuitively control the prosthetic hand.
BrainRobotics has already provided three patients with our prosthetic hand. Our goal is to improve 20,000 patients' lives by 2019.
PROJECT HANDHOLD
Improve Life for Amputees
Bicheng Han
CEO. PhD, Brain Science Center, Harvard University. He has seven years of experience in medical device research and development and has obtained several patents. He has also conducted brain science research in leading research institutions in the United States and Korea.
Molei Wu
BrainRobotics Team Lead. PhD, University of Alabama. Molei leads the development of six degrees of the freedom prosthetics hand. Dr. Wu's research focuses on assistive robotics technology.
Daniel Viner
BrainRobotics Senior Electrical Engineer & Hardware Team Lead. Daniel is responsible for developing the new generation of the electrical board for the prosthetics hand. Currently, he is working on the driver board that is embedded inside the prosthetics hand and the AFE system for EMG signal collection.
Junlin Wang
BrainRobotics Mechanical Engineer. M.S. in mechanical engineering, CMU. Currently, he works on the mechanical structural design of the robotics hand. In the past, he has participated in multiple exoskeleton projects.
Xiao Li
BrainRobotics Mechanical Engineer. M.S., Virginia Tech. Xiao has strong background and experience in designing exoskeletons with multiple degrees of freedom. Currently, he is working with Dr. Wu on the development of our fourth generation prosthetic hand.
Di Wu
BrainRobotics Algorithm Engineer. M.S., Boston University. Di is working on deep machine learning and muscle model development research.
Colin Worth
BrainRobotics Software Engineer. PhD, Boston University. Colin has ten years of working experience programming for medical devices, mobile terminals, PC terminals, and embedded system platforms.