Ryan created numerous technologies that launched the magnetic resonance wireless power industry. Technologies he and his teams created formed the cornerstone of the Rezence (now Airfuel) wireless charging standard that has been adopted by over 200 companies including market leaders Samsung, Intel, Qualcomm, and Verizon. After developing the core technology, Ryan led the development of a product based on that technology which was recognized by TIME magazine as a Top Ten Product of 2014, alongside the Tesla Model S, iPhone 6, and Oculus Rift. He started his work on wireless charging as the Founder, CEO, and CTO of WiPower, a company that was acquired by Qualcomm. Ryan has 15 patents pending or issued. Ryan earned his MBA from MIT. He graduated from University of Florida with his BSEE, summa cum laude, 2nd in his class.
Andrew led the development and deployment of one of Draper's most successful visual-inertial guidance systems that is now widely deployed on programs of critical importance. The technology he developed during his time at Draper later served as the foundation of our work at Shield. In addition to his work on visual-inertial guidance, he led Draper's autonomous exploring quadrotor program, and also their 3D-mapping for dense environment reconstruction program. Prior to this, Andrew developed Matlab and C++ monocular, stereo, and RGB-D SLAM systems for GPS-challenged navigation of humans, robots, cars, and UAVs. He earned his SM in Robotics at Harvard, and BSCE from Northwestern University.
Brandon proudly served in the US Navy for seven years prior to Shield AI. He served as a Navy SEAL with two deployments to Afghanistan and one to the Pacific Theater. In that role he did lots of great stuff, but will not write about it. Previously, he was the assistant chief engineer aboard the USS Pearl Harbor (LSD-52) and deployed to the Persian Gulf. He earned his mechanical engineering degree from the United States Naval Academy. He is also earning his MBA at Harvard Business School.
Over the past 17 years, Chris led the development of, and made substantial contributions to, numerous autonomous navigation systems. Most recently, at Draper Laboratory he developed real-time vision-aided navigators for autonomous parafoils. The algorithms used monocular vision feature tracking, landmark recognition, and low cost sensors to estimate vehicle states in the absence of GPS. Prior to this, he was the principle designer of real-time navigation algorithms for estimation and prediction of 3D wind fields and aerodynamic parameters. And before this, he was the designer of an on-board strapdown navigation algorithm for U.S. Navy conventional reentry bodies. This algorithm estimated the kinematic state of a supersonic reentry body, and provided real-time data to boost/reentry guidance and control systems. He earned his PhD in Mechanical Engineering from MIT (5.0/5.0) with a thesis on Parametrized Maneuvers for Autonomous Vehicles. He earned his MSME from MIT (5.0 / 5.0) and his BSME from University of Kentucky (4.0/4.0).
Pete spent five years at Draper Laboratory where he designed and fielded real-time vision-aided navigation algorithms including approaches using visual inertial odometry and geo-referenced image correlation. His software and algorithms have been fielded on autonomous aerial vehicles that have flown in the United States and in theater. Previously, he spent six years at Honeywell where he developed SLAM algorithms and non-linear, fault tolerant controllers. He earned his MS from MIT and BS, summa cum laude, from University of Minnesota.
Kenny has maintained and developed software for robotic navigation including path planners and trajectory generators for autonomous quadrotors. Previously, he developed software and firmware to integrate, test, and maintain ranging and perception sensors for an autonomous floor cleaner at Brain Corporation. As a student at UCSD, he co-developed a vision controlled and target tracking mobile ground robot which won "Best Project" in the UCSD ROS Robotics course. He earned his BS in Computer Science from UCSD.
Frank has developed numerous exploration and path-planning algorithms for autonomous robots. Previously, he developed a stereo vision based 3D tracking algorithm to assist autonomous UAV landing on a mobile platform for the Navy. He was recognized as intern of the year at SPAWAR, a 12,000-person organization. His work also includes vision based eye tracking and facial recognition. He earned his BS in Computer Science from UCSD.
Brandon created material testing and handling standards for fixtures on the Prime Focus Spectrograph team at NASA’s Jet Propulsion Laboratory. He led mechanical design and manufacture of Railscout: a battery powered autonomous railroad inspection vehicle and prototyped an autonomous submersible and tele-operated rover for Caltech Robotics Team. Brandon is the co-founder and lead mechanical engineer of Caltech Formula SAE Team. Brandon is earning his BSME from Caltech.
Prior to joining Shield AI, Connie worked on 6DOF simulation, control data analysis, and mission validation for the Global Hawk and Triton UAVs at Northrop Grumman. She has experience from Orbital ATK performing system failure analysis on the Space Launch System thrust vector control system. She also worked at NASA's Jet Propulsion Laboratory evaluating potential landing sites for a Mars rover and co-authored three publications while at JPL. She graduated with her Master's in Aerospace Engineering from Purdue and her BSME from Caltech.
Adam has developed several robots and autonomous systems over the past several years. At Brain Corporation, he implemented SLAM algorithms and worked on perceptual systems that used RGB-D cameras, Lidar, and ultra-sonic sensors to create reliable maps of various environments. He also was the CTO and Co-Founder of a mobile app startup that developed a customer acquisition tool for the food services industry. He's personally built a hexapod robot, a solar powered boat, and several software applications. He graduated from UCSD with his BS in Computer Engineering.
Stefan is a PhD Candidate at Stanford University and collaborates with Shield AI. His research is focused on developing provably optimal planning algorithms for multi-agent systems in unknown environments, using tools from statistical learning, graph theory and optimal control. Previously Stefan worked with the Advanced Robotic Systems Engineering Laboratory at the Naval Postgraduate School, which had the first live-fly demonstration of 50 UAVs (some of his code flew on that test!). He holds a Masters degree in Electrical Engineering from Stanford and a BSEE summa cum laude from UCLA.
Kyle's passion for aerospace stems from growing up in a multi-cultural household in Singapore that traveled across Asia, Europe, and North America. With research and work experience at Stanford, SpaceX, and Boeing, Kyle ultimately honed in on developing autonomous systems from conception to production. He matured the control electronics and software for shape memory alloy actuators at Boeing. In parallel, he also developed a physics-based LIDAR model that can be used in model-based development of control systems. He graduated with his MS in aeronautics & astronautics from Stanford and his BS in general engineering from Harvey Mudd College.
Kevin has worked several years in consumer electronics product development and more recently developed localization and object recognition algorithms for autonomous vehicles. At Motorola Mobility, he helped design several generations of industry leading flagship devices, including the Moto X and Moto 360, and created new manufacturing processes that scaled to millions of units. In the field of robotics, he has worked at the crossroads of computer vision and localization, including structure from motion and monocular SLAM. He earned his Master’s in Robotics from the University of Michigan and BSME from UCLA.
Christian has a broad range of experience designing and developing consumer products for a number of different industries. He began his career at Proctor & Gamble designing products for the Gillette brand and has since worked on SCUBA equipment, golf clubs and consumer electronics. Most recently, Christian led the mechanical engineering team responsible for the mechanical design of GoPro’s Karma quadcopter. He earned a BS in Mechanical Engineering from Worcester Polytechnic Institute
Manas is a systems engineer with an emphasis on controls, instrumentation, and robotics. He has experience in a variety of startup roles, from founding through midstage, and from engineering research to development to manufacturing transfer and program manager. He has 20 patents issued. He earned his PhD in mechanical engineering from MIT and a BS in Bioengineering from UC Berkeley.
Sean brings experience from SPAWAR where he developed hardware and software for a satellite tracking and communication station. At Stanford, he worked as a software engineer for the Stanford Nano Picture Satellite, an experimental micro-satellite designed to analyze the deployment of other satellites. He earned his MS in Aeronautics and Astronautics and his BS in Computer Science with a specialization in AI from Stanford Univeristy.
Adam began his career at Rockwell Collins, developing flight control and navigation systems for UAVs. He developed damage tolerant adaptive control architectures as well as automatic gain scheduling techniques for nonlinear systems. At L3 Communications he developed guidance and dynamic positioning controllers for large marine vessels. Prior to joining Shield, he was at Northrop Grumman where he designed and implemented closed loop simulation software, performed controls analysis, and systems integration. He completed his MSME with a focus in vehicle control systems at UC Berkeley and graduated magna cum laude with a BSME from UC Riverside.
Connor comes to Shield AI after finishing his MSME at Stanford, where he conducted research in computational aeroacoustics. As part of this research effort, he spent time at NASA Langley Research Center, where he developed analytic models of noise scattering and an image-analysis tool to measure component bowing during wind tunnel experiments. Connor also graduated summa cum laude with a BSME from Southern Methodist University.
Mark started his career designing switched mode power supplies for various aerospace companies, focusing on modeling, control, and EMI reduction. Prior to joining Shield, he led hardware research and development of wireless power solutions for consumer electronics and medical devices at Qualcomm. He has over 20 patents filed and holds a BS in electric power engineering and an MS in electrical engineering, both from Rensselaer Polytechnic Institute.
Prior to Shield, Ben worked on the Karma program at GoPro as one of the lead test pilots. For the Karma, he characterized battery performance, and collected sensor data. He has a wide range of experience, ranging from auto mechanics (he was a Porsche technician at SP Motorsports) to CNC manufacturing and CAD design. He is passionate about all things mechanical in nature and has been flying drones for the past five years.
Nick served as an officer in the Air Force prior to Shield and led a variety of technology development efforts in hypersonics, space launch, and efficient on-orbit transportation. Additionally, he served as a military fellow at Lincoln Laboratory, providing a large scale network optimization as well as data analytics to US Transportation Command. He earned his MS from MIT and is a distinguished graduate of the US Air Force Academy.