Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks. - Daniel Seita; Haoyu Chen; John F. Canny (CoRR, 2015)

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 (SIMPAR, 2016)

Computing abelian complexity of binary uniform morphic words. - Francine Blanchet-Sadri; Daniel Seita; David Wise (Theor. Comput. Sci., 2016)

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 (ICRA, 2018)

An Efficient Minibatch Acceptance Test for Metropolis-Hastings. - Daniel Seita; Xinlei Pan; Haoyu Chen; John F. Canny (IJCAI, 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)

Risk Averse Robust Adversarial Reinforcement Learning. - Xinlei Pan; Daniel Seita; Yang Gao; John F. Canny (ICRA, 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 (ISRR, 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; et al. (CoRR, 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 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; et al. (IROS, 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 (ISMR, 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 (Robotics: Science and Systems, 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)

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; et al. (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)

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)

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)

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)

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 (CASE, 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; et al. (ICRA, 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 (ICRA, 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 001 (ICRA, 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 (ICRA, 2021)

DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. - Daniel Seita; Abhinav Gopal; Mandi Zhao; John F. Canny (CoRR, 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)

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. - Daniel Seita; Yufei Wang 007; Sarthak J. Shetty; Edward Yao Li; Zackory Erickson; David Held (CoRL, 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 (ICRA, 2022)

Learning to Singulate Layers of Cloth using Tactile Feedback. - Sashank Tirumala; Thomas Weng; Daniel Seita; Oliver Kroemer; Fatma Zeynep Temel; David Held (IROS, 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 (ISRR, 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)

AutoBag: Learning to Open Plastic Bags and Insert Objects. - Lawrence Yunliang Chen; Baiyu Shi; Daniel Seita; Richard Cheng; Thomas Kollar; David Held; Ken Goldberg (ICRA, 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)

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., 2023)

Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. - Haodi Hu; Feifei Qian; Daniel Seita (CoRL, 2024)

VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. - I-Chun Arthur Liu; Sicheng He; Daniel Seita; Gaurav S. Sukhatme (CoRL, 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 001; Ken Goldberg (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)

Learning to Singulate Objects in Packed Environments using a Dexterous Hand. - Hao Jiang; Yuhai Wang; Hanyang Zhou; Daniel Seita (CoRR, 2024)

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. - Wei Chow; Jiageng Mao; Boyi Li; Daniel Seita; Vitor Campagnolo Guizilini; Yue Wang 041 (ICLR, 2025)

Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text. - Zeyu Shangguan; Daniel Seita; Mohammad Rostami (WACV, 2025)

Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment. - Zeyu Shangguan; Daniel Seita; Mohammad Rostami (CoRR, 2025)

Sequential Multi-Object Grasping with One Dexterous Hand. - Sicheng He; Zeyu Shangguan; Kuanning Wang; Yongchong Gu; Yuqian Fu; Yanwei Fu 001; Daniel Seita (CoRR, 2025)

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models. - Yiyang Ling; Karan Owalekar; Oluwatobiloba Adesanya; Erdem Biyik; Daniel Seita (CoRR, 2025)

D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation. - I-Chun Arthur Liu; Jason Chen; Gaurav S. Sukhatme; Daniel Seita (CoRR, 2025)

ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation. - Enyu Zhao; Vedant Raval; Hejia Zhang; Jiageng Mao; Zeyu Shangguan; Stefanos Nikolaidis; Yue Wang; Daniel Seita (CoRR, 2025)

Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche. - Haodi Hu; Yue Wu; Feifei Qian; Daniel Seita (CoRR, 2025)

The MOTIF Hand: A Robotic Hand for Multimodal Observations with Thermal, Inertial, and Force Sensors. - Hanyang Zhou; Haozhe Lou; Wenhao Liu; Enyu Zhao; Yue Wang; Daniel Seita (CoRR, 2025)

HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction. - Zhonghao Shi; Enyu Zhao; Nathaniel Dennler; Jingzhen Wang; Xinyang Xu; Kaleen Shrestha; Mengxue Fu; Daniel Seita; Maja J. Mataric (CoRR, 2025)