Daniel Seita

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 53

Top Topics

Metropolis Hastings

Visual Servoing

Top Venues

Publications

Jonathan Wang, Huang Huang, Vincent Lim, Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Yunliang Chen, Ken Goldberg
Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables. CoRR (2024)
Zeyu Shangguan, Daniel Seita, Mohammad Rostami
Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR (2024)
Haodi Hu, Feifei Qian, Daniel Seita
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRR (2024)
I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRR (2024)
Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR (2024)
Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
Bagging by Learning to Singulate Layers Using Interactive Perception. IROS (2023)
Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
Bagging by Learning to Singulate Layers Using Interactive Perception. CoRR (2023)
Minho Hwang, Jeffrey Ichnowski, Brijen Thananjeyan, Daniel Seita, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans. IEEE Trans Autom. Sci. Eng. 20 (2) (2023)
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
AutoBag: Learning to Open Plastic Bags and Insert Objects. ICRA (2023)
Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR (2022)
Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR (2022)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for physical sequential fabric manipulation. Auton. Robots 46 (1) (2022)
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting. ICRA (2022)
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
AutoBag: Learning to Open Plastic Bags and Insert Objects. CoRR (2022)
Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRR (2022)
Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
Learning to Singulate Layers of Cloth using Tactile Feedback. CoRR (2022)
Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRL (2022)
Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
Learning to Singulate Layers of Cloth using Tactile Feedback. IROS (2022)
Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. CoRR (2021)
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, Ken Goldberg
Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables. ICRA (2021)
Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. ICRA (2021)
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. CoRR (2021)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation. CoRR (2021)
Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CASE (2021)
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
Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics. ICRA (2021)
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. ICRA (2021)
Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CoRR (2021)
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. CoRR (2020)
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, Joseph E. Gonzalez, Ken Goldberg
MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects. CoRR (2020)
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
Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images. CoRR (2020)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. Robotics: Science and Systems (2020)
Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. ISMR (2020)
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
Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. IROS (2020)
Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation. CoRR (2020)
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg
Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables. CoRR (2020)
Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg
Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks. IEEE Robotics Autom. Lett. 5 (4) (2020)
Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg
Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. CoRR (2020)
Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. CoRR (2020)
Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks. CoRR (2020)
Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. CoRR (2020)
Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny
Risk Averse Robust Adversarial Reinforcement Learning. ICRA (2019)
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
Deep Imitation Learning of Sequential Fabric Smoothing Policies. CoRR (2019)
Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. CoRR (2019)
Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny
Risk Averse Robust Adversarial Reinforcement Learning. CoRR (2019)
Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR (2019)
Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. IJCAI (2018)
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. ICRA (2018)
Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR (2018)
Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. CoRR (2017)
Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. UAI (2017)
Francine Blanchet-Sadri, Daniel Seita, David Wise
Computing abelian complexity of binary uniform morphic words. Theor. Comput. Sci. 640 (2016)
Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg
Large-scale supervised learning of the grasp robustness of surface patch pairs. SIMPAR (2016)
Haoyu Chen, Daniel Seita, Xinlei Pan, John F. Canny
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. CoRR (2016)
Daniel Seita, Haoyu Chen, John F. Canny
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks. CoRR (2015)