Daniel Seita

According to our database, Daniel Seita authored at least 40 papers between 2015 and 2024.

Collaborative distances:

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

2024

Learning to Singulate Objects in Packed Environments using a Dexterous Hand.

Hao Jiang, Yuhai Wang, Hanyang Zhou, Daniel Seita

CoRR, 2024

VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation.

I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme

CoRR, 2024

Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope.

Haodi Hu, Feifei Qian, Daniel Seita

CoRR, 2024

GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models.

Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita

CoRR, 2024

Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables.

Jonathan Wang, Huang Huang, Vincent Lim, Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Yunliang Chen, Ken Goldberg

CoRR, 2024

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

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.

Minho Hwang, Jeffrey Ichnowski, Brijen Thananjeyan, Daniel Seita, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg

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

Bagging by Learning to Singulate Layers Using Interactive Perception.

Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg

IROS, 2023

AutoBag: Learning to Open Plastic Bags and Insert Objects.

Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg

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

2022

VisuoSpatial Foresight for physical sequential fabric manipulation.

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Auton. Robots, 2022

Efficiently Learning Single-Arm Fling Motions to Smooth Garments.

Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg

Proceedings of the Robotics Research, 2022

Learning to Singulate Layers of Cloth using Tactile Feedback.

Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held

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.

Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg

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

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

Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held

Proceedings of the Conference on Robot Learning, 2022

2021

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning.

Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg

CoRR, 2021

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

Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny

CoRR, 2021

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

Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, Ken Goldberg

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

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

Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng

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.

Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg

Proceedings of the IEEE International Conference on Robotics and Automation, 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

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning.

Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg

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.

Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg

IEEE Robotics Autom. Lett., 2020

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

Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg

CoRR, 2020

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

Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg

CoRR, 2020

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

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, 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

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

Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg

CoRR, 2020

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

Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg

Proceedings of the Robotics: Science and Systems XVI, 2020

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

Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg

Proceedings of the International Symposium on Medical Robotics, 2020

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

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

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

2019

ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations.

Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny

CoRR, 2019

Deep Imitation Learning of Sequential Fabric Smoothing Policies.

Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2019

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

Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

Proceedings of the Robotics Research, 2019

Risk Averse Robust Adversarial Reinforcement Learning.

Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny

Proceedings of the International Conference on Robotics and Automation, 2019

2018

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

Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg

CoRR, 2018

An Efficient Minibatch Acceptance Test for Metropolis-Hastings.

Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg

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

2016

Computing abelian complexity of binary uniform morphic words.

Francine Blanchet-Sadri, Daniel Seita, David Wise

Theor. Comput. Sci., 2016

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

Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg

Proceedings of the 2016 IEEE International Conference on Simulation, 2016

2015

Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks.

Daniel Seita, Haoyu Chen, John F. Canny

CoRR, 2015