Predicting coordinated group movements of sharks with limited observations using AUVs. - Cherie Ho; Kimberly Joly; Andrew P. Nosal; Christopher G. Lowe; Christopher M. Clark (SAC, 2017)

Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments. - Rogerio Bonatti; Cherie Ho; Wenshan Wang; Sanjiban Choudhury; Sebastian A. Scherer (IROS, 2019)

Autonomous aerial cinematography in unstructured environments with learned artistic decision-making. - Rogerio Bonatti; Wenshan Wang; Cherie Ho; Aayush Ahuja; Mirko Gschwindt; Efe Camci; Erdal Kayacan; Sanjiban Choudhury; Sebastian A. Scherer (J. Field Robotics, 2020)

3D Human Reconstruction in the Wild with Collaborative Aerial Cameras. - Cherie Ho; Andrew Jong; Harry Freeman; Rohan Rao; Rogerio Bonatti; Sebastian A. Scherer (IROS, 2021)

Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance. - Cherie Ho; Jay Patrikar; Rogerio Bonatti; Sebastian A. Scherer (CoRR, 2021)

Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models. - Eric Chen; Cherie Ho; Mukhtar Maulimov; Chen Wang 033; Sebastian A. Scherer (CoRR, 2023)

Learning-on-the-Drive: Self-supervised Adaptive Long-range Perception for High-speed Offroad Driving. - Eric Chen; Cherie Ho; Mukhtar Maulimov; Chen Wang 033; Sebastian A. Scherer (IROS, 2024)

Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets. - Cherie Ho; Jiaye Zou; Omar Alama; Sai Mitheran Jagadesh Kumar; Cheng-Yu Chiang; Taneesh Gupta; Chen Wang 033; Nikhil Varma Keetha; Katia P. Sycara; Sebastian A. Scherer (NeurIPS, 2024)

Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping. - Shubhra Aich; Wenshan Wang; Parv Maheshwari; Matthew Sivaprakasam; Samuel Triest; Cherie Ho; Jason M. Gregory; John G. Rogers III; Sebastian A. Scherer (CoRR, 2024)

Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data. - Cherie Ho; Jiaye Zou; Omar Alama; Sai Mitheran Jagadesh Kumar; Benjamin Chiang; Taneesh Gupta; Chen Wang 033; Nikhil Varma Keetha; Katia P. Sycara; Sebastian A. Scherer (CoRR, 2024)

MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions. - Cherie Ho; Seungchan Kim; Brady G. Moon; Aditya Parandekar; Narek Harutyunyan; Chen Wang 033; Katia P. Sycara; Graeme Best; Sebastian A. Scherer (CoRR, 2024)

SALON: Self-supervised Adaptive Learning for Off-road Navigation. - Matthew Sivaprakasam; Samuel Triest; Cherie Ho; Shubhra Aich; Jeric Lew; Isaiah Adu; Wenshan Wang; Sebastian A. Scherer (CoRR, 2024)

MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning. - Narek Harutyunyan; Brady G. Moon; Seungchan Kim; Cherie Ho; Adam Hung; Sebastian A. Scherer (CoRR, 2025)

PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration. - Seungjae Baek; Brady G. Moon; Seungchan Kim; Muqing Cao; Cherie Ho; Sebastian A. Scherer; Jeong hwan Jeon (CoRR, 2025)

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 Varma Keetha; Sebastian A. Scherer (CoRR, 2025)