Lawrence A. M. Bush
About Lawrence A. M. Bush
Lawrence A. M. Bush is a Senior (Robot) Perception Engineer at Autonomous Solutions, Inc. in Logan, Utah, where he has worked since 2015, bringing extensive experience in autonomous systems and engineering.
Work at Autonomous Solutions
Lawrence A. M. Bush has been employed at Autonomous Solutions, Inc. (ASI) as a Senior (Robot) Perception Engineer since 2015. In this role, he has contributed to the development of robotic perception systems, focusing on enhancing the capabilities of autonomous vehicles. His work involves designing and testing advanced algorithms and systems that enable robots to understand and interact with their environments effectively.
Education and Expertise
Lawrence holds a Bachelor of Science in Industrial Engineering, which provides a foundation in continuous improvement, just-in-time manufacturing, and optimization. He furthered his education at Rensselaer Polytechnic Institute, earning a Master's Degree in Computer Science. He completed his Doctor of Philosophy (Ph.D.) in Autonomous Systems with a minor in Brain & Cognitive Science from the Massachusetts Institute of Technology, where he studied from 2006 to 2013.
Background
Before joining ASI, Lawrence gained extensive experience in various research and engineering roles. He worked at MIT Lincoln Laboratory for 12 years, focusing on algorithms and autonomous system design. His internships at NASA Ames Research Center and the Monterey Bay Aquarium Research Institute provided him with practical experience in research environments. His background includes expertise in engineering economics and organizational development from the Cornell ILR Program.
Achievements
Lawrence has designed, built, and tested a terrain characterization system on a Ford SUV, incorporating features such as static obstacle detection and moving vehicle detection. He has also researched and implemented a GPS-denied localization algorithm using C++ and Dlib. Additionally, he collaborated with multiple MIT professors to propose new technologies and co-authored a proposal for government agency recommendations on fail-safe system verification for autonomous vehicles.