Michael Gross
Robotics Engineer @ Workr
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 extensive hands-on experience in robotic system development, including designing object-oriented software architectures, leveraging ROS2 and MATLAB, 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. 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.
United States
San Francisco Bay Area
Information Technology & Services
Robot Programming, Computer Vision, Manufacturing, Python (Programming Language), Robot, Continuous Integration and Continuous Delivery (CI/CD), Rapid Prototyping, Linear Algebra, Graphical Models, Literature Reviews, Case Studies, Industrial Automation, Automation, Cooperative Learning, Time Management, Teamwork, Regression Models, Transfer Learning, Organization Skills, Programming
Experience

Graduate Research Assistant
Mesa, Arizona, United States
Developed a MuJoCo-based educational and research platform to simulate experimental workflows and enable digital twin functionality; published as a installable Python package. Designed and implemented an agnostic robotic arm controller framework using socket-based Python communication, enabling flexible hardware integration. Integrated a comprehensive digital twin ecosystem combining computer vision, custom UDP communication protocols, and both simulation and control packages above to support autonomous task execution and robotic research.
Michael Gross's Contact Information
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