Robert Goeddel
About Robert Goeddel
Robert Goeddel is a Robotics Engineer known for his research on enabling robots to reason about navigation tasks. He has a PhD in Computer Science from the University of Michigan and currently works at May Mobility, contributing to autonomous vehicle systems.
Work at May Mobility
Robert Goeddel has been employed at May Mobility as a Robotics Engineer since 2017. In this role, he has contributed to the development of perception and localization systems for autonomous vehicles. His work focuses on enhancing the capabilities of robotic systems, particularly in the context of navigation tasks. Goeddel's experience in robotics aligns with May Mobility's mission to advance autonomous transportation solutions.
Education and Expertise
Robert Goeddel studied at the University of Michigan, where he earned a Bachelor of Engineering (B.E.) in Computer Science from 2006 to 2010. He continued his education at the same institution, completing a Doctor of Philosophy (PhD) in Computer Science from 2010 to 2017. His academic background has equipped him with a strong foundation in robotics and artificial intelligence, which he applies in his current role.
Background
Before joining May Mobility, Robert Goeddel worked as a PhD Candidate at the University of Michigan from 2010 to 2018. His research focused on enabling robots to reason about hypothetical policies for navigation tasks. Additionally, he gained early industry experience through internships at LGS Innovations in 2007 and 2008, where he worked in Whippany and Florham Park, NJ, respectively.
Research and Competitions
During his time at the University of Michigan, Robert Goeddel participated in the MAGIC 2010 robotics competition held in Adelaide, Australia. This experience allowed him to apply his knowledge in a competitive setting, further developing his skills in robotics. His research and competition involvement reflect his commitment to advancing the field of robotics.
Interests in Robotics
Robert Goeddel is interested in making robotic systems more accessible and teachable for non-experts. This focus on accessibility highlights his commitment to bridging the gap between advanced robotics technology and users who may not have a technical background. His work aims to democratize the use of robotics in various applications.