Daniel Seita

According to our database¹, Daniel Seita authored at least 35 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Cross-domain Multi-modal Few-shot Object Detection via Rich Text.

[BibT_eX]

[DOI]

Zeyu Shangguan

Daniel Seita

Mohammad Rostami

CoRR, 2024

2023

Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., April, 2023

Bagging by Learning to Singulate Layers Using Interactive Perception.

[BibT_eX]

[DOI]

Lawrence Yunliang Chen

IROS, 2023

AutoBag: Learning to Open Plastic Bags and Insert Objects.

[BibT_eX]

[DOI]

Lawrence Yunliang Chen

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

2022

VisuoSpatial Foresight for physical sequential fabric manipulation.

[BibT_eX]

[DOI]

Auton. Robots, 2022

Efficiently Learning Single-Arm Fling Motions to Smooth Garments.

[BibT_eX]

[DOI]

Lawrence Yunliang Chen

Proceedings of the Robotics Research, 2022

Learning to Singulate Layers of Cloth using Tactile Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting.

[BibT_eX]

[DOI]

Vincent Lim

Huang Huang

Lawrence Yunliang Chen

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning.

[BibT_eX]

[DOI]

Vincent Lim

Huang Huang

Lawrence Yunliang Chen

CoRR, 2021

DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables.

[BibT_eX]

[DOI]

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

Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks.

[BibT_eX]

[DOI]

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

Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation.

[BibT_eX]

[DOI]

CoRR, 2020

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Medical Robotics, 2020

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, 2019

Risk Averse Robust Adversarial Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric.

[BibT_eX]

[DOI]

CoRR, 2018

Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

An Efficient Minibatch Acceptance Test for Metropolis-Hastings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

Computing abelian complexity of binary uniform morphic words.

[BibT_eX]

[DOI]

Francine Blanchet-Sadri

Daniel Seita

David Wise

Theor. Comput. Sci., 2016

Large-scale supervised learning of the grasp robustness of surface patch pairs.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Simulation, 2016

2015

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks.

[BibT_eX]

[DOI]

Daniel Seita

Haoyu Chen

John F. Canny

CoRR, 2015

Daniel Seita

Timeline

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On csauthors.net:

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