Summary
Rui Wang is an Assistant Professor of Instruction in Computer Science at Texas State University and a robotics engineer with eight years of experience building embodied AI and manipulation systems for real-world applications. He holds a Ph.D. from Rutgers where he focused on task and motion planning, and has applied that research in industry roles at Apptronik and Diligent Robotics to advance humanoid teleoperation, behavior-tree driven autonomy, and hospital-assistive manipulation. Rui's work spans low-level motion planning integrations (OMPL/C++), large-scale demonstration generation for learning pipelines, and vision-based coordination for reliable robot behavior across changing environments. He has taught advanced AI courses as a selective course instructor at Rutgers and brings classroom-ready industry experience to curriculum development. Based in Austin, he combines rigorous research training with practical deployment experience, often solving for reliability and safety under real operational constraints. An avid builder, Rui’s background includes machine-tending motion planning at Autodesk and early vision-path planning projects at Columbia, reflecting a long-standing focus on bridging research and production robotics.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University–New Brunswick
M.S, Mechanical Engineering, M.S, Mechanical Engineering at Columbia University in the City of New York
Bachelor of Engineering (B.Eng.), Automotive Engineering, Bachelor of Engineering (B.Eng.), Automotive Engineering at Nanjing University of Aeronautics and Astronautics
Chinese, English