Allan Wang is a postdoctoral researcher at the Miraikan Accessibility Lab in Tokyo and a PhD graduate of Carnegie Mellon’s Robotics Institute, bringing 11 years of experience at the intersection of robotics, perception, human–robot interaction, and machine learning. He focuses on social navigation—designing models and tools that enable robots to move safely and efficiently in pedestrian-rich environments while respecting implicit social norms. His work blends rigorous academic research with practical system-building, informed by training in mechanical engineering and robotics. Based in Pittsburgh, Allan leverages cross-cultural research settings and accessibility-driven goals, aiming to make autonomous systems more socially aware and broadly useful.
11 years of coding experience
2 years of employment as a software developer
Ph.D. Robotics Institute, School of Computer Science, Ph.D. Robotics Institute, School of Computer Science at Carnegie Mellon University
This is a simulator that leverages pedestrian datasets to simulate pedestrians.
Contributions:2 PRs, 24 pushes, 3 branches in 7 months
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