1 code implementation • 23 Feb 2024 • Hanxiao Jiang, Binghao Huang, Ruihai Wu, Zhuoran Li, Shubham Garg, Hooshang Nayyeri, Shenlong Wang, Yunzhu Li
Robots need to explore their surroundings to adapt to and tackle tasks in unknown environments.
no code implementations • 20 Jun 2023 • Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva
Surprisingly, we observe that agents trained on just 122 scenes from our dataset outperform agents trained on 10, 000 scenes from the ProcTHOR-10K dataset in terms of zero-shot generalization in real-world scanned environments.
1 code implementation • 24 Mar 2023 • Xiaohao Sun, Hanxiao Jiang, Manolis Savva, Angel Xuan Chang
We then address this more challenging scenario with OPDFormer: a part-aware transformer architecture.
1 code implementation • 12 Sep 2022 • Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang, Angel X. Chang, Manolis Savva
Human-object interactions with articulated objects are common in everyday life.
1 code implementation • 30 Mar 2022 • Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang
The input is a single image of an object, and as output we detect what parts of the object can open, and the motion parameters describing the articulation of each openable part.
1 code implementation • CVPR 2020 • Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su
To achieve this task, a simulated environment with physically realistic simulation, sufficient articulated objects, and transferability to the real robot is indispensable.