Cherie Ho is a robotics researcher and postdoctoral fellow with a decade of experience building perception and learning systems for field robots, spanning off-road vehicles, search-and-rescue, and autonomous wheelchairs. Trained at Carnegie Mellon (PhD) and soon joining Stanford IPRL, she develops uncertainty-aware computer vision and continual learning methods that extend sensing horizons and enable robots to generalize in novel environments. Her work has been funded by DARPA, NSF, Japan AIST, and supported practical deployments—from high-speed off-road perception to multi-drone 3D reconstruction—and she has collaborated with policymakers to communicate robotic capabilities. Beyond core research, she blends entrepreneurial and industry experience (Microsoft, co-founding Zenith Robotics) with hands-on systems building, such as an autonomous outdoor motion-capture pipeline. A lesser-known thread in her career is early fieldwork tracking marine life with underwater robots, reflecting a long-standing focus on real-world, robust autonomy.
10 years of coding experience
4 years of employment as a software developer
International Baccalaureate Diploma, International Baccalaureate Diploma at Chinese International School
Bachelor of Science (B.S.), Engineering, Bachelor of Science (B.S.), Engineering at Harvey Mudd College
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon University
Control Barrier Functions for Quadrotors, standalone with dynamics simulator, nominal controllers.
Contributions:29 commits, 3 PRs, 27 pushes in 1 year 8 months
quadrotorscontrollersbarrierrobotsimulation
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Cherie Ho - Postdoctoral Fellow at Stanford University