Hi, I’m Cherie! I am a postdoc at Stanford University working with Prof. Jeannette Bohg. I am grateful to be supported by the Croucher Fellowship for Postdoctoral Research. I completed my PhD in the Robotics Institute at Carnegie Mellon University, where I was advised by Prof. Sebastian Scherer.

Multi-Drone Motion Capture
Offroad Driving
Urban Wheelchair
Mobile Manipulation

My research goal is to build flexible and self-improving robots that operate reliably in messy, real-world environments. I focus on how robots can build memory that is flexible for long-horizon tasks, steered by different types of goals, reason about uncertainty and consequences, and continually self-improve through their own experience. I have had the joy of working across diverse robotic platforms, including multi-drone systems, high-speed offroad driving, urban wheelchairs, and now mobile manipulators in messy settings.

Email: cherieho at stanford dot edu

CV / Google Scholar / Twitter / LinkedIn

Recent News


Selected Publications

See the full list of my publication here.

2026
MessyMem: Learning-from-Doing Memory for Mobile Manipulation
Anuva Banwasi, William Muckelroy III, Priya Sundaresan, Linfeng Zhao, Jeannette Bohg, Cherie Ho
MessyNav: Zero-Shot Navigation via Manipulation in Messy Environments
Kenneth Llontop, Cherie Ho, Dylan Zhou, Anuva Banwasi, Carlota Pares-Morlans, Priya Sundaresan, Jeannette Bohg
Robot-Powered Data Flywheels: Deploying Robots in the Wild for Continual Data Collection and Foundation Model Adaptation
Jennifer Grannen, Michelle Pan, Kenneth Llontop, Cherie Ho, Mark Zolotas, Jeannette Bohg, Dorsa Sadigh

arXiv preprint, 2026
[Website] [PDF]
2025
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning
Narek Harutyunyan, Brady Moon, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian Scherer

IEEE International Conference on Advanced Robotics (ICAR), 2025
[Website] [PDF]
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration
Seungjae Baek, Brady Moon, Seungchan Kim, Muqing Cao, Cherie Ho, Sebastian Scherer, Jeong hwan Jeon

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
[Website] [PDF] [Code]
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration
Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, Cherie Ho, Nikhil Keetha, Sebastian Scherer

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
[Website] [PDF] [Code]
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

IEEE International Conference on Robotics and Automation (ICRA), 2025
[Website] [PDF] [Code]
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
IEEE International Conference on Robotics and Automation (ICRA), 2025
[Website] [PDF] [Code]
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]
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

  • 2025 Croucher Fellowship for Postdoctoral Research
  • 2025 Robotics: Science and Systems (RSS) Pioneer
  • 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
  • 2014 - 2017 Jude and Eileen Laspa Fellowship in Autonomous Systems