Priya Sundaresan

According to our database1, Priya Sundaresan authored at least 20 papers between 2019 and 2024.

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Bibliography

2024
FLAIR: Feeding via Long-horizon AcquIsition of Realistic dishes.
CoRR, 2024

Learning Correspondence for Deformable Objects.
CoRR, 2024

RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

KITE: Keypoint-Conditioned Policies for Semantic Manipulation.
Proceedings of the Conference on Robot Learning, 2023

Learning Sequential Acquisition Policies for Robot-Assisted Feeding.
Proceedings of the Conference on Robot Learning, 2023

2022
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.
IEEE Robotics Autom. Lett., 2022

DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning Visuo-Haptic Skewering Strategies for Robot-Assisted Feeding.
Proceedings of the Conference on Robot Learning, 2022

2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Disentangling Dense Multi-Cable Knots.
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.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Untangling Dense Knots by Learning Task-Relevant Keypoints.
CoRR, 2020

MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects.
CoRR, 2020

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images.
CoRR, 2020

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Untangling Dense Knots by Learning Task-Relevant Keypoints.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Automated Extraction of Surgical Needles from Tissue Phantoms.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019


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