Cherie Ho

According to our database, Cherie Ho authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, April, 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, March, 2025

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, March, 2025

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

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, Katia P. Sycara, Graeme Best, 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, Nikhil Varma Keetha, Katia P. Sycara, Sebastian A. Scherer

CoRR, 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: 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, Nikhil Varma Keetha, Katia P. Sycara, Sebastian A. Scherer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning-on-the-Drive: Self-supervised Adaptive Long-range Perception for High-speed Offroad Driving.

Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Learning-on-the-Drive: Self-supervised Adaptation of Visual Offroad Traversability Models.

Eric Chen, Cherie Ho, Mukhtar Maulimov, Chen Wang, Sebastian A. Scherer

CoRR, 2023

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

3D Human Reconstruction in the Wild with Collaborative Aerial Cameras.

Cherie Ho, Andrew Jong, Harry Freeman, Rohan Rao, Rogerio Bonatti, Sebastian A. Scherer

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

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

2019

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

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2017

Predicting coordinated group movements of sharks with limited observations using AUVs.

Cherie Ho, Kimberly Joly, Andrew P. Nosal, Christopher G. Lowe, Christopher M. Clark

Proceedings of the Symposium on Applied Computing, 2017