
Kai Qian
Senior Systems Analyst(Senior Robotic Alogrithms and Controls Engineer) @ Intuitive
About
Researcher and engineer with 10+ years’ hand-on experience in rapid-prototype development, mechatronic system design, signal processing, machine learning algorithms, robotic system control for safety and mission critical applications. Solid knowledge on human physiology, neurobiology and anatomy through course trainings at VCU medical school and UChicago.
United States
San Francisco Bay Area
Medical Device
Matlab, Biomedical Engineering, Robotics, C++, Machine Learning, Signal Processing, Labview, Medical Devices, Microcontrollers, Neuroscience, Control Systems Design, Java, Neuroengineering, TCP/IP protocols, AutoCAD, Assembly Language, Embedded Systems, UML, Network Programming, Altium Designer
Experience

Graduate Researcher
Greater Chicago Area
1. Control robotic hand exoskeleton with motor neurons • Proposed the cortically controlled robotic hand skeleton system. • Leader of a team of three to design, manufacture and control the first prototype monkey-sized robotic hand exoskeleton. • Solved the challenges of designing mechanoeletrical system in ultra-small scale and limited space. • Developed software for each of the subsystem, main application (Matlab), real-time controller (Simulink Realtime/XPC), robotic system user GUI (Matlab), neural decoder (Multithreaded C/Linux), and rewarding system (Embedded C). • Applied state-of-art machine learning algorithms in decoder design and neural data analysis. 2. Kinematic control of biomimic actuated thumb exoskeleton • Derived and analyzed kinematics of 11 joints thumb skeleton with non-orthogonal and off-set axes. • Improved rotation measurement accuracy and linearity by using non-contacting hall-effect sensor. • Modelled and simulated the 11 joints coupled exoskeleton kinematic control in Simmechanics. 3. Hand robotic skeleton for stroke patient joint stiffness evaluation • Dramatically reduced system run-time failures by converting the entire system software from QNX C based to LabVIEW Realtime based. • Solved the stability problem in high speed tracking by building customized PID controller with additional tachometer input. • Provided therapists with safe, reliable, and easy user interface to operate robotic exoskeleton for clinical stiffness evaluation and manage data. • System smoothly run 120+ evaluations for 40+ stroke patients in hospital environment.

Research Intern
Shanghai Electrical Automation R&D Institute
Shanghai City, China
• Flash memory selection, integration and testing for GPS datalogger. • Programmed serial communication software between PC host and datalogger.
Education
Kai Qian's Contact Information
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