About

Michael Gross is a Robotics & Autonomous Systems Engineer with a Master's degree from Arizona State University, specializing in environment-aware robotic systems designed for dynamic and complex settings. His expertise lies in advanced sensor fusion, real-time control, and building modular simulation platforms that enable precise and adaptable robot operation.

He possesses hands-on experience in robotic system development, including designing object-oriented software architectures, leveraging C/Python, and creating custom frameworks for multi-robot coordination. Michael's research and engineering projects have tackled real-world automation challenges, particularly in high-risk, precision-critical environments such as glovebox robotics and rehabilitation devices. He has since applied this expertise in industry, integrating AI-driven perception and motion-planning models into concurrent edge inference deployments for industrial robotic arm control.

Beyond his technical pursuits, Michael is passionate about mentoring young students in STEM, nurturing early interest in engineering through hands-on problem-solving experiences. Outside the laboratory, he enjoys exploring electronics, working on automotive projects, and spending time outdoors.