Eric Liu

Senior Robotics AI Engineer @ RIOS

About Eric Liu

Eric Liu is a Senior Robotics AI Engineer at RIOS Corporation, where he has worked since 2021. He has a diverse background in robotics and computer science, with previous roles at various academic institutions and companies.

Work at RIOS Corporation

Eric Liu has been employed at RIOS Corporation as a Senior Robotics AI Engineer since 2021. His role involves the development and implementation of advanced robotics solutions. Based in Menlo Park, California, Liu contributes to projects that enhance robotic capabilities in various applications.

Education and Expertise

Eric Liu holds a Master's degree in Robotics from Georgia Institute of Technology, which he completed from 2018 to 2021. He also earned a Master of Science (M.S.) in Computer Science from the University of Wisconsin-Madison in 2018. Additionally, Liu has dual Bachelor's degrees from Swarthmore College in Engineering (B.S.) and Economics (B.A.), completed in 2015.

Background in Research and Development

Liu has a diverse background in research and development, having worked as a Research Assistant in various labs. His experience includes three years at the CORE Robotics Lab at Georgia Institute of Technology from 2018 to 2021, and previous positions at the Scalable Autonomous Systems Lab at Drexel University, the Human Computer Interaction Lab at the University of Wisconsin-Madison, and Swarthmore College.

Professional Experience

Before joining RIOS Corporation, Eric Liu held several positions that contributed to his expertise in robotics and software development. He worked as a Software Developer at Epic from 2015 to 2016 and served as an Energy Intern at IHS Global Insight in 2012. Liu also completed a Senior Design Project and worked as a Teaching Assistant at Swarthmore College from 2012 to 2015.

Projects and Contributions

Eric Liu has made significant contributions to robotics through various projects. He achieved site-acceptance test completion for dynamic pick-and-place robotic workcells within 4.5 months after conception. Additionally, he created reusable training pipelines for segmentation and classification models and designed modules for run-time software architecture, safe robot control, object tracking, and adaptable motion planning.

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