Yafei Hu I’m a robotics researcher interested in 3D perception for robotics, and how motion planning and RL policy learning could benefit from 3D perception. I currenly work at RAI Institute (formerly known as Boston Dynamics AI Institute) as a research scientist. I did my PhD at Carnegie Mellon University, with Prof. Sebastian Scherer. If you are interested in doing an internship with me at RAI Institute, please shoot me an email.
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Learning Generalizable Feature Fields for Mobile Manipulation
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@inproceedings{qiuhu2024geff, abbr = {qiuhu2024geff}, title = {Learning Generalizable Feature Fields for Mobile Manipulation}, author = {Qiu*, Ri-Zhao and Hu*, Yafei and and Song, Yuchen*, Yang, Ge and Fu, Yang and Ye, Jianglong and Mu, Jiteng and Yang, Ruihan and Atanasov, Nikolay and Scherer, Sebastian and Wang, Xiaolong}, year = {2025}, booktitle = {IROS}, html = {https://geff-b1.github.io/}, pdf = {https://arxiv.org/pdf/2403.07563.pdf}, bibtex_show = {true}, selected = {true} } |
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Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
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@inproceedings{hu2023robofm, abbr = {hu2023robofm}, title = {Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis}, author = {Hu*, Yafei and Xie*, Quanting and Jain*, Vidhi and Francis, Jonathan and Patrikar, Jay and Keetha, Nikhil and Kim, Seungchan and Xie, Yaqi and Zhang, Tianyi and Zhao, Zhibo and Chong, Yu-Quan and Wang, Chen and Sycara, Katia and Johnson-Roberson, Matthew and Batra, Dhruv and Wang, Xiaolong and Scherer, Sebastian and Kira, Zsolt and Xia, Fei and Bisk, Yonatan}, year = {2023}, booktitle = {arXiv:2312.08782}, html = {https://robotics-fm-survey.github.io/}, pdf = {https://arxiv.org/pdf/2312.08782.pdf}, bibtex_show = {true}, selected = {true} } |
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Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments
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@inproceedings{hu2023opere, abbr = {hu2023opere}, title = {Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments}, author = {Hu, Yafei and Geng, Junyi and Wang, Chen and Keller, John and Scherer, Sebastian}, booktitle = {IEEE Robotics and Automation Letters (RA-L)}, year = {2023}, html = {https://jeffreyyh.github.io/opere/}, pdf = {https://arxiv.org/pdf/2204.03140.pdf}, code = {}, bibtex_show = {true}, selected = {true} } |
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Unsupervised Online Learning for Robotic Interestingness with Visual Memory
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@inproceedings{2021_TRO_Inter, abbr = {2021_TRO_Inter}, title = {Unsupervised Online Learning for Robotic Interestingness with Visual Memory}, author = {Wang, Chen and Qiu, Yuheng and Wang, Wenshan and Hu, Yafei and Kim, Seungchan and Scherer, Sebastian}, booktitle = {IEEE Transactions on Robotics}, year = {2021}, html = {https://arxiv.org/abs/2111.09793}, pdf = {https://arxiv.org/pdf/2111.09793.pdf}, code = {}, bibtex_show = {true}, selected = {true} } |
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Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
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@inproceedings{2020_ECCV_Inter, abbr = {2020_ECCV_Inter}, title = {Visual Memorability for Robotic Interestingness via Unsupervised Online Learning}, author = {Wang, Chen and Wang, Wenshan and Qiu, Yuheng and Hu, Yafei and Scherer, Sebastian}, booktitle = {ECCV}, year = {2020}, html = {https://arxiv.org/abs/2005.08829}, pdf = {https://arxiv.org/pdf/2005.08829.pdf}, code = {}, bibtex_show = {true}, selected = {true} } |
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TartanAir: A Dataset to Push the Limits of Visual SLAM
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@inproceedings{2020_IROS_TartanAir, abbr = {2020_IROS_TartanAir}, title = {TartanAir: A Dataset to Push the Limits of Visual SLAM}, author = {Wang, Wenshan and Zhu, Delong and Wang, Xiangwei and Hu, Yaoyu and Qiu, Yuheng and Wang, Chen and Hu, Yafei and Kapoor, Ashish and Scherer, Sebastian}, booktitle = {IROS}, year = {2020}, html = {https://arxiv.org/abs/2003.14338}, pdf = {https://arxiv.org/pdf/2003.14338.pdf}, code = {}, bibtex_show = {true}, selected = {true} } |
Stolen from Georgia Gkioxari