Hi, I’m Cherie! I’m a PhD Student in the Robotics Institute at Carnegie Mellon University advised by Sebastian Scherer. I am part of the Air Lab and the Field Robotics Center.

My research interest is in the intersection of field robotics, computer vision and machine learning to develop robots that can continuously learn in new scenarios by reasoning about uncertainties and consequences. Developing such robots can break the need of immense human engineering when encountering new situations and environments and pave the way for robots capable of operating effectively and at scale in diverse scenarios.

I am on the job market (tenure-track faculty / postdoc / research scientist) this year!
Please reach out ✉ if you think our research interests align!

I am interested in developing generalizable, adaptive and uncertainty-aware robot algorithms for dynamic real-world applications. I have worked on applications such as motion capture in forests, high-speed offroad driving, and now autonomous wheelchairs. See my full list of publications here.

CV / Google Scholar / Twitter / LinkedIn

During my PhD, I interned with Ashish Kapoor and Shuang Ma at Microsoft. I did my undergrad at Harvey Mudd College, where I worked with Chris Clark on shark-tracking underwater robots. Between Harvey Mudd and CMU, I cofounded Zenith Robotics with Chris Clark and Vai Viswanathan.

Recent News


Selected Publications

See the full list of my publication here.

2024
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
Cherie Ho*, Jiaye Zou*, Omar Alama*, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer

Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2024
[Website] [PDF] [Code]
Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models
Cherie Ho*, Eric Chen*, Mukhtar Maulimov, Chen Wang, Sebastian Scherer

International Conference on Intelligent Robots and Systems (IROS), 2024
[PDF]
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions
Cherie Ho*, Seungchan Kim*, Brady Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia Sycara, Graeme Best, Sebastian Scherer

In Submission, 2024
[PDF]
SALON: Self-supervised Adaptive Learning for Off-road Navigation
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian Scherer
In Submission, 2024
[Website] [PDF] [Code]
2021
3D Human Reconstruction in the Wild with Collaborative Aerial Cameras
Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian Scherer

International Conference on Intelligent Robots and Systems (IROS), 2021
[PDF] [Video]

Honors & Awards

  • 2019-2021 Croucher Scholarship for Doctoral Study (Full Scholarship)
  • 2019 Best Paper Finalist, IROS Vision-based Drones Workshop
  • 2018 HMC INQ Inaugural Class (Harvey Mudd Startup Incubator)
  • 2017 Harvey Mudd College Johnson Excellence in Engineering Award
  • 2017 Harvey Mudd College Engineering Departmental Honors
  • 2016 University of Southern California Wrigley Institute Graduate Summer Fellowship (as an undergraduate)
  • 2014 - 2017 Jude and Eileen Laspa Fellowship in Autonomous Systems
  • 2015 First Place, MuddHacks (Gesture-controlled helicopter)