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2020 – today
- 2024
[i31]Zeyu Shangguan, Daniel Seita, Mohammad Rostami:
Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR abs/2403.16188 (2024)- [i30]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 abs/2405.09581 (2024) - [i29]Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita:
GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR abs/2406.09640 (2024) - [i28]Haodi Hu, Feifei Qian, Daniel Seita:
Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRR abs/2407.01898 (2024) - [i27]I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme:
VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRR abs/2407.04152 (2024) - [i26]Hao Jiang, Yuhai Wang, Hanyang Zhou, Daniel Seita:
Learning to Singulate Objects in Packed Environments using a Dexterous Hand. CoRR abs/2409.00643 (2024) - 2023
- [j4]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): 909-922 (2023) - [c20]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: 3918-3925 - [c19]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: 3176-3183 - [i25]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 abs/2303.16898 (2023) - 2022
- [j3]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): 175-199 (2022) - [c18]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: 1038-1049 - [c17]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: 8282-8289 - [c16]Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held:
Learning to Singulate Layers of Cloth using Tactile Feedback. IROS 2022: 7773-7780 - [c15]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: 36-51 - [i24]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 abs/2206.08921 (2022) - [i23]Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held:
Learning to Singulate Layers of Cloth using Tactile Feedback. CoRR abs/2207.11196 (2022) - [i22]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 abs/2210.17217 (2022) - [i21]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 abs/2211.09006 (2022) - 2021
- [c14]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: 502-509 - [c13]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: 4560-4567 - [c12]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: 4568-4575 - [c11]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: 7166-7173 - [c10]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: 11515-11522 - [i20]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 abs/2102.09754 (2021) - [i19]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 abs/2104.00053 (2021) - [i18]Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny:
DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. CoRR abs/2109.07380 (2021) - [i17]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 abs/2111.04814 (2021) - 2020
- [j2]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): 5937-5944 (2020) - [c9]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: 9651-9658 - [c8]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: 22-29 - [c7]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 - [i16]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 abs/2002.06302 (2020) - [i15]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 abs/2003.08520 (2020) - [i14]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 abs/2003.09044 (2020) - [i13]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 abs/2003.12698 (2020) - [i12]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 abs/2010.04339 (2020) - [i11]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 abs/2011.04840 (2020) - [i10]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 abs/2011.06163 (2020) - [i9]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 abs/2012.03385 (2020) - [i8]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 abs/2012.12844 (2020)
2010 – 2019
- 2019
- [c6]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. ICRA 2019: 8522-8528 - [c5]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: 275-290 - [i7]Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny:
Risk Averse Robust Adversarial Reinforcement Learning. CoRR abs/1904.00511 (2019) - [i6]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 abs/1910.04854 (2019) - [i5]Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny:
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. CoRR abs/1910.12154 (2019) - 2018
- [c4]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: 6651-6658 - [c3]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. IJCAI 2018: 5359-5363 - [i4]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 abs/1809.09810 (2018) - 2017
- [c2]Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. UAI 2017 - [i3]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 abs/1709.06668 (2017) - 2016
- [j1]Francine Blanchet-Sadri, Daniel Seita, David Wise:
Computing abelian complexity of binary uniform morphic words. Theor. Comput. Sci. 640: 41-51 (2016) - [c1]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: 216-223 - [i2]Haoyu Chen, Daniel Seita, Xinlei Pan, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. CoRR abs/1610.06848 (2016) - 2015
- [i1]Daniel Seita, Haoyu Chen, John F. Canny:
Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks. CoRR abs/1511.06416 (2015)
Coauthor Index
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