Model for unfolding laundry using interactive perception

By Bryan Willimon, Stan Birchfield, Ian D. Walker. 2011

89 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Ken Goldberg
2. John F. Canny
3. Brijen Thananjeyan
4. Ashwin Balakrishna

In Computer Graphics and Computer-Aided Design

1. Ken Goldberg
2. John F. Canny
3. Brijen Thananjeyan
4. Ashwin Balakrishna

In Computer Vision and Pattern Recognition

1. Ken Goldberg
2. Katsu Yamane
3. John F. Canny
4. Brijen Thananjeyan
5. Ashwin Balakrishna
6. Luc Van Gool
7. Jitendra Malik
8. Andrew Zisserman

Citations in the corpus

• SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation (2020, neutral): “Early works used traditional vision algorithms to detect key features such as edges and corners [1, 21, 22].”
• Deep Imitation Learning of Sequential Fabric Smoothing Policies (2019, methodology): “In among the most relevant prior on fabric smoothing, Willimon et al. [53] present an algorithm that pulls at eight fixed angles, and then uses a six-step stage to identify corners from depth images using the Harris Corner Detector [14].”