Summary
Brandon Yang is a robot learning researcher and master's student in Robotics at UPenn with three years of hands-on experience developing perception, mapping, and reinforcement learning systems for collaborative and embodied robots. He has moved from research assistant roles at UVA—where he implemented Python/ROS pipelines for object detection, localization, and grasping—to short-term industry research at SpiritAI and now to robot learning research at UPenn. His work bridges theory and practice, combining CS training in computation and systems with applied experiments in human-robot collaboration and manufacturing settings. Notably, he has a track record of turning ML-based object detection and policy training into demonstrated robotic behaviors, reflecting a pragmatic focus on deployable research.
3 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Virginia
Virginia Episcopal School
Master's degree Robotics, Master's degree Robotics at University of Pennsylvania
Chinese, English