Daniel Seita - RankMe

82 papers A* 11A 6C 2Misc 3Journal 56Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causally Robust Reward Learning from Reason-Augmented Preference Feedback. CoRR Minjune Hwang, Yigit Korkmaz, Daniel Seita, Erdem Biyik
2026	J	`jnl`	Concurrent Prehensile and Nonprehensile Manipulation: A Practical Approach to Multi-Stage Dexterous Tasks. CoRR Hao Jiang, Yue Wu, Yue Wang, Gaurav S. Sukhatme, Daniel Seita
2026	J	`jnl`	D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping. CoRR Haozhe Lou, Mingtong Zhang, Haoran Geng, Hanyang Zhou, Sicheng He, Zhiyuan Gao, Siheng Zhao, Jiageng Mao, Pieter Abbeel, Jitendra Malik, Daniel Seita, Yue Wang
2026	A*	`conf`	Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models. AAAI Daniel Seita
2026	J	`jnl`	ICLR: In-Context Imitation Learning with Visual Reasoning. CoRR Toan Nguyen, Weiduo Yuan, Songlin Wei, Hui Li, Daniel Seita, Yue Wang
2026	J	`jnl`	OCRA: Object-Centric Learning with 3D and Tactile Priors for Human-to-Robot Action Transfer. CoRR Kuanning Wang, Ke Fan, Yuqian Fu, Siyu Lin, Hu Luo, Daniel Seita, Yanwei Fu, Yu-Gang Jiang, Xiangyang Xue
2026	J	`jnl`	Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing. CoRR Nikita Sarawgi, Omey M. Manyar, Fan Wang, Thinh H. Nguyen, Daniel Seita, Satyandra K. Gupta
2026	J	`jnl`	Red-Teaming Vision-Language-Action Models via Quality Diversity Prompt Generation for Robust Robot Policies. CoRR Siddharth Srikanth, Freddie Liang, Ya-Chuan Hsu, Varun Bhatt, Shihan Zhao, Henry Chen, Bryon Tjanaka, Minjune Hwang, Akanksha Saran, Daniel Seita, Aaquib Tabrez, Stefanos Nikolaidis
2026	J	`jnl`	V-MORALS: Visual Morse Graph-Aided Estimation of Regions of Attraction in a Learned Latent Space. CoRR Faiz Aladin, Ashwin Balasubramanian, Lars Lindemann, Daniel Seita
2025	A	`conf`	Cross-Domain Multi-Modal Few-Shot Object Detection via Rich Text. WACV Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2025	J	`jnl`	Cross-domain Few-shot Object Detection with Multi-modal Textual Enrichment. CoRR Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2025	J	`jnl`	D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation. CoRR I-Chun Arthur Liu, Jason Chen, Gaurav S. Sukhatme, Daniel Seita
2025	J	`jnl`	Granular Loco-Manipulation: Repositioning Rocks Through Strategic Sand Avalanche. CoRR Haodi Hu, Yue Wu, Feifei Qian, Daniel Seita
2025	J	`jnl`	HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot Interaction. CoRR Zhonghao Shi, Enyu Zhao, Nathaniel Dennler, Jingzhen Wang, Xinyang Xu, Kaleen Shrestha, Mengxue Fu, Daniel Seita, Maja J. Mataric
2025	J	`jnl`	IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models. CoRR Yiyang Ling, Karan Owalekar, Oluwatobiloba Adesanya, Erdem Biyik, Daniel Seita
2025	J	`jnl`	Learning Geometry-Aware Nonprehensile Pushing and Pulling with Dexterous Hands. CoRR Yunshuang Li, Yiyang Ling, Gaurav S. Sukhatme, Daniel Seita
2025	J	`jnl`	ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation. CoRR Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita
2025	A*	`conf`	PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. ICLR Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang
2025	J	`jnl`	PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. CoRR Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang
2025	J	`jnl`	ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation. CoRR Jason Chen, I-Chun Arthur Liu, Gaurav S. Sukhatme, Daniel Seita
2025	J	`jnl`	Robot Learning from Any Images. CoRR Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang
2025	J	`jnl`	SCOOP'D: Learning Mixed-Liquid-Solid Scooping via Sim2Real Generative Policy. CoRR Kuanning Wang, Yongchong Gu, Yuqian Fu, Zeyu Shangguan, Sicheng He, Xiangyang Xue, Yanwei Fu, Daniel Seita
2025	A	`conf`	Sequential Multi-Object Grasping with One Dexterous Hand. IROS Sicheng He, Zeyu Shangguan, Kuanning Wang, Yongchong Gu, Yuqian Fu, Yanwei Fu, Daniel Seita
2025	J	`jnl`	Sequential Multi-Object Grasping with One Dexterous Hand. CoRR Sicheng He, Zeyu Shangguan, Kuanning Wang, Yongchong Gu, Yuqian Fu, Yanwei Fu, Daniel Seita
2025	J	`jnl`	The MOTIF Hand: A Robotic Hand for Multimodal Observations with Thermal, Inertial, and Force Sensors. CoRR Hanyang Zhou, Haozhe Lou, Wenhao Liu, Enyu Zhao, Yue Wang, Daniel Seita
2024	J	`jnl`	Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR Zeyu Shangguan, Daniel Seita, Mohammad Rostami
2024	J	`jnl`	GPT-Fabric: Folding and Smoothing Fabric by Leveraging Pre-Trained Foundation Models. CoRR Vedant Raval, Enyu Zhao, Hejia Zhang, Stefanos Nikolaidis, Daniel Seita
2024	Misc	`conf`	Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRL Haodi Hu, Feifei Qian, Daniel Seita
2024	J	`jnl`	Learning Granular Media Avalanche Behavior for Indirectly Manipulating Obstacles on a Granular Slope. CoRR Haodi Hu, Feifei Qian, Daniel Seita
2024	J	`jnl`	Learning to Singulate Objects in Packed Environments using a Dexterous Hand. CoRR Hao Jiang, Yuhai Wang, Hanyang Zhou, Daniel Seita
2024	J	`jnl`	Self-Supervised Learning of Dynamic Planar Manipulation of Free-End Cables. CoRR Jonathan Wang, Huang Huang, Vincent Lim, Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Yunliang Chen, Ken Goldberg
2024	Misc	`conf`	VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRL I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme
2024	J	`jnl`	VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation. CoRR I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme
2023	A*	`conf`	AutoBag: Learning to Open Plastic Bags and Insert Objects. ICRA Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2023	J	`jnl`	Automating Surgical Peg Transfer: Calibration With Deep Learning Can Exceed Speed, Accuracy, and Consistency of Humans. IEEE Trans Autom. Sci. Eng. Minho Hwang, Jeffrey Ichnowski, Brijen Thananjeyan, Daniel Seita, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
2023	A	`conf`	Bagging by Learning to Singulate Layers Using Interactive Perception. IROS Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2023	J	`jnl`	Bagging by Learning to Singulate Layers Using Interactive Perception. CoRR Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2022	J	`jnl`	AutoBag: Learning to Open Plastic Bags and Insert Objects. CoRR Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
2022	C	`conf`	Efficiently Learning Single-Arm Fling Motions to Smooth Garments. ISRR Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
2022	J	`jnl`	Efficiently Learning Single-Arm Fling Motions to Smooth Garments. CoRR Lawrence Yunliang Chen, Huang Huang, Ellen R. Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg
2022	A	`conf`	Learning to Singulate Layers of Cloth using Tactile Feedback. IROS Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
2022	J	`jnl`	Learning to Singulate Layers of Cloth using Tactile Feedback. CoRR Sashank Tirumala, Thomas Weng, Daniel Seita, Oliver Kroemer, Fatma Zeynep Temel, David Held
2022	A*	`conf`	Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting. ICRA Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
2022	Misc	`conf`	ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRL Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
2022	J	`jnl`	ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds. CoRR Daniel Seita, Yufei Wang, Sarthak J. Shetty, Edward Yao Li, Zackory Erickson, David Held
2022	J	`jnl`	VisuoSpatial Foresight for physical sequential fabric manipulation. Auton. Robots Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2021	J	`jnl`	DCUR: Data Curriculum for Teaching via Samples with Reinforcement Learning. CoRR Daniel Seita, Abhinav Gopal, Mandi Zhao, John F. Canny
2021	A*	`conf`	Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. ICRA Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg
2021	—	`conf`	LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CASE Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
2021	J	`jnl`	LazyDAgger: Reducing Context Switching in Interactive Imitation Learning. CoRR Ryan Hoque, Ashwin Balakrishna, Carl Putterman, Michael Luo, Daniel S. Brown, Daniel Seita, Brijen Thananjeyan, Ellen R. Novoseller, Ken Goldberg
2021	A*	`conf`	Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics. ICRA 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
2021	A*	`conf`	Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. ICRA Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
2021	J	`jnl`	Planar Robot Casting with Real2Sim2Real Self-Supervised Learning. CoRR Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg
2021	A*	`conf`	Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables. ICRA Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, Ken Goldberg
2021	J	`jnl`	VisuoSpatial Foresight for Physical Sequential Fabric Manipulation. CoRR Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2020	—	`conf`	Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. ISMR Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
2020	J	`jnl`	Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot. CoRR Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
2020	A	`conf`	Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. IROS 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
2020	J	`jnl`	Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks. IEEE Robotics Autom. Lett. Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg
2020	J	`jnl`	Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Sensing, Temporal Windowing, and Linear and Recurrent Neural Network Compensation. CoRR Minho Hwang, Brijen Thananjeyan, Samuel Paradis, Daniel Seita, Jeffrey Ichnowski, Danyal Fer, Thomas Low, Ken Goldberg
2020	J	`jnl`	Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. CoRR Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg
2020	J	`jnl`	Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. CoRR Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng
2020	J	`jnl`	Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images. CoRR 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
2020	J	`jnl`	MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects. CoRR Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Ryan Hoque, Joseph E. Gonzalez, Ken Goldberg
2020	J	`jnl`	Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables. CoRR Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Ken Goldberg
2020	J	`jnl`	Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks. CoRR Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
2020	—	`conf`	VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. Robotics: Science and Systems Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2020	J	`jnl`	VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. CoRR Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2019	J	`jnl`	Deep Imitation Learning of Sequential Fabric Smoothing Policies. CoRR 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
2019	C	`conf`	Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
2019	A*	`conf`	Risk Averse Robust Adversarial Reinforcement Learning. ICRA Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny
2019	J	`jnl`	Risk Averse Robust Adversarial Reinforcement Learning. CoRR Xinlei Pan, Daniel Seita, Yang Gao, John F. Canny
2019	J	`jnl`	ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations. CoRR Daniel Seita, David M. Chan, Roshan Rao, Chen Tang, Mandi Zhao, John F. Canny
2018	A*	`conf`	An Efficient Minibatch Acceptance Test for Metropolis-Hastings. IJCAI Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny
2018	A*	`conf`	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. ICRA Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2018	J	`jnl`	Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
2017	A	`conf`	An Efficient Minibatch Acceptance Test for Metropolis-Hastings. UAI Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny
2017	J	`jnl`	Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure. CoRR Daniel Seita, Sanjay Krishnan, Roy Fox, Stephen McKinley, John F. Canny, Ken Goldberg
2016	J	`jnl`	An Efficient Minibatch Acceptance Test for Metropolis-Hastings. CoRR Haoyu Chen, Daniel Seita, Xinlei Pan, John F. Canny
2016	J	`jnl`	Computing abelian complexity of binary uniform morphic words. Theor. Comput. Sci. Francine Blanchet-Sadri, Daniel Seita, David Wise
2016	—	`conf`	Large-scale supervised learning of the grasp robustness of surface patch pairs. SIMPAR Daniel Seita, Florian T. Pokorny, Jeffrey Mahler, Danica Kragic, Michael J. Franklin, John F. Canny, Kenneth Y. Goldberg
2015	J	`jnl`	Fast Parallel SAME Gibbs Sampling on General Discrete Bayesian Networks. CoRR Daniel Seita, Haoyu Chen, John F. Canny