Cherie Ho

25 papers A* 3A 5Misc 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions.
ICRA
Cherie Ho, Seungchan Kim, Brady G. Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia P. Sycara, Graeme Best, Sebastian A. Scherer
2025 — conf
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning.
ICAR
Narek Harutyunyan, Brady G. Moon, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian A. Scherer
2025 J jnl
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning.
CoRR
Narek Harutyunyan, Brady G. Moon, Seungchan Kim, Cherie Ho, Adam Hung, Sebastian A. Scherer
2025 A conf
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration.
IROS
Seungjae Baek, Brady G. Moon, Seungchan Kim, Muqing Cao, Cherie Ho, Sebastian A. Scherer, Jeong hwan Jeon
2025 J jnl
PIPE Planner: Pathwise Information Gain with Map Predictions for Indoor Robot Exploration.
CoRR
Seungjae Baek, Brady G. Moon, Seungchan Kim, Muqing Cao, Cherie Ho, Sebastian A. Scherer, Jeong hwan Jeon
2025 A conf
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration.
IROS
Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, Cherie Ho, Nikhil Varma Keetha, Sebastian A. Scherer
2025 J jnl
RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration.
CoRR
Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, Cherie Ho, Nikhil Varma Keetha, Sebastian A. Scherer
2025 J jnl
Robot-Powered Data Flywheels: Deploying Robots in the Wild for Continual Data Collection and Foundation Model Adaptation.
CoRR
Jennifer Grannen, Michelle Pan, Kenneth Llontop, Cherie Ho, Mark Zolotas, Jeannette Bohg, Dorsa Sadigh
2025 A* conf
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
ICRA
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2025 J jnl
Vision-Language Memory for Spatial Reasoning.
CoRR
Zuntao Liu, Yi Du, Taimeng Fu, Shaoshu Su, Cherie Ho, Chen Wang
2024 J jnl
Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping.
CoRR
Shubhra Aich, Wenshan Wang, Parv Maheshwari, Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Jason M. Gregory, John G. Rogers III, Sebastian A. Scherer
2024 A conf
Learning-on-the-Drive: Self-supervised Adaptive Long-range Perception for High-speed Offroad Driving.
IROS
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian A. Scherer
2024 J jnl
Map It Anywhere (MIA): Empowering Bird's Eye View Mapping using Large-scale Public Data.
CoRR
Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Varma Keetha, Katia P. Sycara, Sebastian A. Scherer
2024 A* conf
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets.
NeurIPS
Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Cheng-Yu Chiang, Taneesh Gupta, Chen Wang, Nikhil Varma Keetha, Katia P. Sycara, Sebastian A. Scherer
2024 J jnl
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions.
CoRR
Cherie Ho, Seungchan Kim, Brady G. Moon, Aditya Parandekar, Narek Harutyunyan, Chen Wang, Katia P. Sycara, Graeme Best, Sebastian A. Scherer
2024 J jnl
SALON: Self-supervised Adaptive Learning for Off-road Navigation.
CoRR
Matthew Sivaprakasam, Samuel Triest, Cherie Ho, Shubhra Aich, Jeric Lew, Isaiah Adu, Wenshan Wang, Sebastian A. Scherer
2023 J jnl
Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models.
CoRR
Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian A. Scherer
2021 A conf
3D Human Reconstruction in the Wild with Collaborative Aerial Cameras.
IROS
Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian A. Scherer
2021 J jnl
3D Human Reconstruction in the Wild with Collaborative Aerial Cameras.
CoRR
Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian A. Scherer
2021 J jnl
Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance.
CoRR
Cherie Ho, Jay Patrikar, Rogerio Bonatti, Sebastian A. Scherer
2020 J jnl
Autonomous aerial cinematography in unstructured environments with learned artistic decision-making.
J. Field Robotics
Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
2019 J jnl
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making.
CoRR
Rogerio Bonatti, Wenshan Wang, Cherie Ho, Aayush Ahuja, Mirko Gschwindt, Efe Camci, Erdal Kayacan, Sanjiban Choudhury, Sebastian A. Scherer
2019 A conf
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments.
IROS
Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
2019 J jnl
Towards a Robust Aerial Cinematography Platform: Localizing and Tracking Moving Targets in Unstructured Environments.
CoRR
Rogerio Bonatti, Cherie Ho, Wenshan Wang, Sanjiban Choudhury, Sebastian A. Scherer
2017 Misc conf
Predicting coordinated group movements of sharks with limited observations using AUVs.
SAC
Cherie Ho, Kimberly Joly, Andrew P. Nosal, Christopher G. Lowe, Christopher M. Clark