Research

2024

1. 

   IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale

   Wei Gao, Bo Ai, Joel Loo,  Vinay, and David Hsu

   arXiv, 2024

   PDF

2. 

   RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing

   Bo Ai*, Stephen Tian*, Haochen Shi, Yixuan Wang, Cheston Tan, Yunzhu Li, and Jiajun Wu

   Robotics: Science and Systems (RSS) , 2024

   Abridged in ICRA 2024 workshops ViTac, 3DVRM, Future Roadmap for Sensorimotor Skills, and RSS 2024 workshop Priors4Robots.

   Website PDF

   @inproceedings{ai2024robopack,
     title = {RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing},
     author = {Ai*, Bo and Tian*, Stephen and Shi, Haochen and Wang, Yixuan and Tan, Cheston and Li, Yunzhu and Wu, Jiajun},
     booktitle = {Robotics: Science and Systems (RSS)},
     year = {2024},
     url = {https://arxiv.org/abs/2407.01418},
     note = {Abridged in ICRA 2024 workshops
       [ViTac](https://shanluo.github.io/ViTacWorkshops/),
       [3DVRM](https://3d-manipulation-workshop.github.io/),
       [Future Roadmap for Sensorimotor Skills](https://icra-manipulation-skill.github.io/), and RSS 2024 workshop
       [Priors4Robots](https://sites.google.com/alora.tech/priors4robots24).}
   }

2023

1. 

   Invariance is Key to Generalization: Examining the Role of Representation in Sim-to-Real Transfer for Visual Navigation

   Bo Ai , Zhanxin Wu, and David Hsu

   International Symposium on Experimental Robotics (ISER) , 2023

   PDF

   @inproceedings{ai2023invariance,
     author = {Ai, Bo and Wu, Zhanxin and Hsu, David},
     title = {Invariance is Key to Generalization: Examining the Role of Representation
                       in Sim-to-Real Transfer for Visual Navigation},
     booktitle = {International Symposium on Experimental Robotics (ISER)},
     volume = {abs/2310.15020},
     year = {2023},
     url = {https://doi.org/10.48550/arXiv.2310.15020},
     doi = {10.48550/ARXIV.2310.15020},
     eprinttype = {arXiv},
     eprint = {2310.15020},
     timestamp = {Mon, 04 Dec 2023 21:29:45 +0100},
     biburl = {https://dblp.org/rec/journals/corr/abs-2310-15020.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }

2. 

   Integrating Common Sense and Planning with Large Language Models for Room Tidying

   Zhanxin Wu, Bo Ai, and David Hsu

   RSS 2023 Workshop on Learning for Task and Motion Planning , 2023

   PDF

   @inproceedings{wu2023integrating,
     title = {Integrating Common Sense and Planning with Large Language Models for Room Tidying},
     author = {Wu, Zhanxin and Ai, Bo and Hsu, David},
     booktitle = {RSS 2023 Workshop on Learning for Task and Motion Planning},
     year = {2023},
     url = {https://openreview.net/forum?id=vuSI9mhDaBZ},
   }

2022

1. 

   Deep Visual Navigation under Partial Observability

   Bo Ai, Wei Gao,  Vinay, and David Hsu

   International Conference on Robotics and Automation (ICRA) , 2022

   Website PDF

   @inproceedings{ai2022deep,
     author = {Ai, Bo and Gao, Wei and Vinay and Hsu, David},
     title = {Deep Visual Navigation under Partial Observability},
     booktitle = {International Conference on Robotics and Automation (ICRA)},
     pages = {9439--9446},
     publisher = {{IEEE}},
     year = {2022},
     url = {https://doi.org/10.1109/ICRA46639.2022.9811598},
     doi = {10.1109/ICRA46639.2022.9811598},
     timestamp = {Mon, 04 Dec 2023 21:29:46 +0100},
     biburl = {https://dblp.org/rec/conf/icra/AiGVH22.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }

2. 

   Whodunit? Learning to Contrast for Authorship Attribution

   Bo Ai , Yuchen Wang , Yugin Tan , and Samson Tan

   Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022 , 2022

   PDF

   @inproceedings{ai2022whodunit,
     author = {Ai, Bo and Wang, Yuchen and Tan, Yugin and Tan, Samson},
     editor = {He, Yulan and Ji, Heng and Liu, Yang and Li, Sujian and Chang, Chia{-}Hui and Poria, Soujanya and Lin, Chenghua and Buntine, Wray L. and Liakata, Maria and Yan, Hanqi and Yan, Zonghan and Ruder, Sebastian and Wan, Xiaojun and Arana{-}Catania, Miguel and Wei, Zhongyu and Huang, Hen{-}Hsen and Wu, Jheng{-}Long and Day, Min{-}Yuh and Liu, Pengfei and Xu, Ruifeng},
     title = {Whodunit? Learning to Contrast for Authorship Attribution},
     booktitle = {Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the
                       Association for Computational Linguistics and the 12th International
                       Joint Conference on Natural Language Processing, {AACL/IJCNLP} 2022
                       - Volume 1: Long Papers, Online Only, November 20-23, 2022},
     pages = {1142--1157},
     publisher = {Association for Computational Linguistics},
     year = {2022},
     url = {https://aclanthology.org/2022.aacl-main.84},
     timestamp = {Tue, 29 Nov 2022 14:53:03 +0100},
     biburl = {https://dblp.org/rec/conf/ijcnlp/AiWTT22.bib},
     bibsource = {dblp computer science bibliography, https://dblp.org},
   }