no code implementations • 29 May 2019 • Hefeng Wu, Yafei Hu, Keze Wang, Hanhui Li, Lin Nie, Hui Cheng
Multi-Person Tracking (MPT) is often addressed within the detection-to-association paradigm.
1 code implementation • 31 Mar 2020 • Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian Scherer
We present a challenging dataset, the TartanAir, for robot navigation task and more.
Robotics
3 code implementations • ECCV 2020 • Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer
In this paper, we explore the problem of interesting scene prediction for mobile robots.
1 code implementation • 18 Nov 2021 • Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer
Instead, we propose to develop a method that automatically adapts online to the environment to report interesting scenes quickly.
no code implementations • 7 Apr 2022 • Yafei Hu, Junyi Geng, Chen Wang, John Keller, Sebastian Scherer
To the best of our knowledge, this work for the first time demonstrates value function prediction on real-world dataset for robot exploration in challenging subterranean and urban environments.
no code implementations • 14 Dec 2023 • Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk
Motivated by the impressive open-set performance and content generation capabilities of web-scale, large-capacity pre-trained models (i. e., foundation models) in research fields such as Natural Language Processing (NLP) and Computer Vision (CV), we devote this survey to exploring (i) how these existing foundation models from NLP and CV can be applied to the field of robotics, and also exploring (ii) what a robotics-specific foundation model would look like.
no code implementations • 12 Mar 2024 • Ri-Zhao Qiu, Yafei Hu, Ge Yang, Yuchen Song, Yang Fu, Jianglong Ye, Jiteng Mu, Ruihan Yang, Nikolay Atanasov, Sebastian Scherer, Xiaolong Wang
An open problem in mobile manipulation is how to represent objects and scenes in a unified manner, so that robots can use it both for navigating in the environment and manipulating objects.