Carlos Gutierrez is a Senior Research Engineer at Scientific Systems, with extensive experience in developing diverse algorithms and their implementation across simulated, emulated, and hardware environments. Notable accomplishments include the development of a C++ library for controlling the Parrot Bebop drone, integrated with OpenCV for real-time video processing. Prior to this role, Carlos held the position of Graduate Research Assistant at the Space Systems Lab at MIT, where design and implementation of LQG controllers and an Acoustic Power Diode were undertaken to mitigate acoustic noise in rocket fairings. Additionally, as a Research Assistant at the BioFluid Mechanics Laboratory at Florida International University, Carlos constructed a Digital Particle Image Velocimetry setup and a cardiovascular duplicator to model cardiac outputs. Carlos holds a Master’s degree in Mechanical Engineering from the Massachusetts Institute of Technology and a Bachelor’s degree in Mechanical Engineering from Florida International University.
Scientific Systems
Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.