no code implementations • 23 Mar 2023 • Sameer Pai, Tao Chen, Megha Tippur, Edward Adelson, Abhishek Gupta, Pulkit Agrawal
We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of a drawer.
no code implementations • 9 Dec 2022 • Neha Sunil, Shaoxiong Wang, Yu She, Edward Adelson, Alberto Rodriguez
We propose a system that leverages visual and tactile perception to unfold the cloth via grasping and sliding on edges.
no code implementations • 7 Dec 2022 • Hao Li, Yizhi Zhang, Junzhe Zhu, Shaoxiong Wang, Michelle A Lee, Huazhe Xu, Edward Adelson, Li Fei-Fei, Ruohan Gao, Jiajun Wu
Humans use all of their senses to accomplish different tasks in everyday activities.
1 code implementation • 21 Nov 2022 • Tao Chen, Megha Tippur, Siyang Wu, Vikash Kumar, Edward Adelson, Pulkit Agrawal
The controller is trained using reinforcement learning in simulation and evaluated in the real world on new object shapes not used for training, including the most challenging scenario of reorienting objects held in the air by a downward-facing hand that must counteract gravity during reorientation.
no code implementations • 16 Jun 2021 • Shaoxiong Wang, Yu She, Branden Romero, Edward Adelson
Vision-based tactile sensors have the potential to provide important contact geometry to localize the objective with visual occlusion.
no code implementations • 28 Jan 2021 • Chen Wang, Shaoxiong Wang, Branden Romero, Filipe Veiga, Edward Adelson
We present SwingBot, a robot that is able to learn the physical features of a held object through tactile exploration.
2 code implementations • 27 Feb 2018 • Jianhua Li, Siyuan Dong, Edward Adelson
Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.
Robotics
1 code implementation • 21 Feb 2018 • Shan Luo, Wenzhen Yuan, Edward Adelson, Anthony G. Cohn, Raul Fuentes
In this paper, addressing for the first time (to the best of our knowledge) texture recognition from tactile images and vision, we propose a new fusion method named Deep Maximum Covariance Analysis (DMCA) to learn a joint latent space for sharing features through vision and tactile sensing.
1 code implementation • CVPR 2017 • Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, Edward Adelson
A thin flexible fabric, when draped, tends to look different from a heavy stiff fabric.