Jennifer Grannen

According to our database, Jennifer Grannen authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing.

Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Stabilize to Act: Learning to Coordinate for Bimanual Manipulation.

Jennifer Grannen, Yilin Wu, Brandon Vu, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 2023

2022

Learning Bimanual Scooping Policies for Food Acquisition.

Jennifer Grannen, Yilin Wu, Suneel Belkhale, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 2022

2021

Detecting Damage Building Using Real-time Crowdsourced Images and Transfer Learning.

Gaurav Chachra, Qingkai Kong, Jim Huang, Srujay Korlakunta, Jennifer Grannen, Alexander Robson, Richard M. Allen

CoRR, 2021

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.

Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Disentangling Dense Multi-Cable Knots.

Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.

Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Minho Hwang, Vainavi Viswanath, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg

CoRR, 2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

CoRR, 2020

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.

Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.

Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg

Proceedings of the 4th Conference on Robot Learning, 2020