Concepedia

Jennifer Grannen

JG

8

Publications

257

Citations

8

H-Index

2020

Active since

Affiliations

University of California, Berkeley(Current)

Toyota Research Institute

Jennifer Grannen is an author at University of California, Berkeley specializing in geometric modeling, robot learning, and computer vision.

Top concepts

RoboticsEngineeringMachine VisionRobot LearningComputer VisionGeometry ModelingRobotic ManipulationDeep LearningRobot SystemsSoft Robotics

Publications per year

2020–2023

8

Publications

8

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

Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan et al. · 2020 · 101 citations

Artificial Intelligence, Geometric Learning, Robotic Systems +23

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

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan et al. · 2021 · 53 citations

Realistic Rendering, Robotic Systems, Engineering +27

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

Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan et al. · 2021 · 22 citations · Full text

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

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan et al. · 2020 · 19 citations

Engineering, Dexterous Manipulation, Dense Object Descriptors +23

Disentangling Dense Multi-Cable Knots

Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan et al. · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2021 · 18 citations

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