Cardinal Mechatronics was founded in 2014 to develop solutions to instrumentation, control, and electromechanical system integration.  We primarily focus on medical devices, but have worked with a wide range of disciplines including mobile robotics, automated manufacturing, and consumer products.  Our work is divided between our own products and services for other companies.


John Bird, PhD

Ph.D., Mechanical Engineering, Virginia Tech, 2011

John Bird is an experienced engineer and project manager.  His primary area of expertise is sensor and control systems.  Most of his recent work is in medical devices for monitoring or diagnosis, but he has prior experience in mobile robotics focusing on perception and multi-robot systems and alternative fuel vehicles focusing on control systems.  John is a 2011 PhD graduate of from Virginia Tech Mechanical Engineering where in addition to his work in control of multi-robot systems and computer vision based perception for robotics he taught senior and graduate level courses in Mechatronics and the engineering design process.


Seth Adams

B.S., Mechanical Engineering, Virginia Tech, 2016

Seth Adams is our data scientist at Cardinal Mechatronics. Main goals involve instrumenting physical therapy patients to provide targeted feedback consisting of several metrics such as maximum and average range of motion, frequency of motion patterns, force of the motions, and a measure of left-right balance.  He works closely with our inertial measurement unit system to calibrate and record standardized data across different body sizes. Machine learning specialties range from building custom ensemble algorithms from weak learning algorithms to more advanced neural networks.


Philip Repisky

B.S., Mechanical Engineering, Virginia Tech, 2016

M.S., Mechanical Engineering Candidate, Virginia Tech

Philip is our Instrumentation and Computer Vision lead at Cardinal Mechatronics.  He began his role here taking Long Wave Infrared (LWIR) camera recordings of patients in sleep studies to develop an algorithm for localizing the nostrils for assessing the breathe rate waveform. More recently he has been developing the test system for assessing the relation between heat and CO2 in air streams which mimic exhaled breathe. With the ability to quantify the CO2 level and temperature, a relationship between Midwave Infrared (MWIR) and LWIR images will be used to determine the CO2 content of the patient’s breathe. His previous roles saw him in National Instruments Applications Engineering and design lead of an effort to develop an autonomous robotic platform for carrying out cataract surgery.