Hongbin Lin

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	End-to-End Learning of Deep Visuomotor Policy for Needle Picking	2023	Hongbin Lin Bin Li Xiangyu Chu Qi Dou Yunhui Liu Kwok Wai Samuel Au
+ PDF Chat	Learning Deep Nets for Gravitational Dynamics With Unknown Disturbance Through Physical Knowledge Distillation: Initial Feasibility Study	2021	Hongbin Lin Qian Gao Xiangyu Chu Qi Dou Anton Deguet Peter Kazanzides Kwok Wai Samuel Au
+ PDF Chat	A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces	2019	Hongbin Lin Chiu-Wai Vincent Hui Yan Wang Anton Deguet Peter Kazanzides Kwok Wai Samuel Au
+ PDF Chat	Recovering from External Disturbances in Online Manipulation through State-Dependent Revertive Recovery Policies	2018	Hongmin Wu Shuangqi Luo Hongbin Lin Shuangda Duan Yisheng Guan Juan Rojas
+ PDF Chat	Fast, robust, and versatile event detection through HMM belief state gradient measures	2018	Shuangqi Luo Hongmin Wu Hongbin Lin Shuangda Duan Yisheng Guan Juan Rojas
+ PDF Chat	Robot introspection with Bayesian nonparametric vector autoregressive hidden Markov models	2017	Hongmin Wu Hongbin Lin Yisheng Guan Kensuke Harada Juan Rojas
+ PDF Chat	Online robot introspection via wrench-based action grammars	2017	Juan Rojas Shuangqi Luo Dingqiao Zhu Yunlong Du Hongbin Lin Zhengjie Huang Wenwei Kuang Kensuke Harada

Common Coauthors

Coauthor	Papers Together
Juan Rojas	4
Yisheng Guan	3
Shuangqi Luo	3
Kwok Wai Samuel Au	3
Hongmin Wu	3
Peter Kazanzides	2
Xiangyu Chu	2
Shuangda Duan	2
Anton Deguet	2
Qi Dou	2
Kensuke Harada	2
Yunhui Liu	1
Zhengjie Huang	1
Chiu-Wai Vincent Hui	1
Wenwei Kuang	1
Qian Gao	1
Yunlong Du	1
Dingqiao Zhu	1
Yan Wang	1
Bin Li	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Robot introspection with Bayesian nonparametric vector autoregressive hidden Markov models	2017	Hongmin Wu Hongbin Lin Yisheng Guan Kensuke Harada Juan Rojas	2
+	A Convex Optimization-Based Dynamic Model Identification Package for the da Vinci Research Kit	2019	Yan Wang Radian Gondokaryono Adnan Munawar Gregory S. Fischer	2
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+	Probability Estimates for Multi-Class Classification by Pairwise Coupling	2003	Tingfan Wu Chih‐Jen Lin Ruby C. Weng	1
+	Physical feasibility of robot base inertial parameter identification: A linear matrix inequality approach	2014	Cristóvão Sousa Rui Cortesão	1
+	Joint modeling of multiple time series via the beta process with application to motion capture segmentation	2014	Emily B. Fox Michael C. Hughes Erik B. Sudderth Michael I. Jordan	1
+	A Probabilistic Representation for Dynamic Movement Primitives	2016	Franziska Meier Stefan Schaal	1
+ PDF Chat	Online robot introspection via wrench-based action grammars	2017	Juan Rojas Shuangqi Luo Dingqiao Zhu Yunlong Du Hongbin Lin Zhengjie Huang Wenwei Kuang Kensuke Harada	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards	2017	Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot Nicolas Heess Thomas Rothörl Thomas Lampe Martin Riedmiller	1
+	Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control	2018	Frederik Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine	1
+	Recovering from External Disturbances in Online Manipulation through State-Dependent Revertive Recovery Policies	2017	Hongmin Wu Hongbin Lin Shuangqi Luo Shuangda Duan Yisheng Guan Juan Rojas	1
+ PDF Chat	Incremental semiparametric inverse dynamics learning	2016	Raffaello Camoriano Silvio Traversaro Lorenzo Rosasco Giorgio Metta Francesco Nori	1
+ PDF Chat	A new data source for inverse dynamics learning	2017	Daniel Kappler Franziska Meier Nathan Ratliff Stefan Schaal	1
+ PDF Chat	Overcoming Exploration in Reinforcement Learning with Demonstrations	2018	Ashvin Nair Bob McGrew Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel	1
+ PDF Chat	A convex polynomial force-motion model for planar sliding: Identification and application	2016	Jiaji Zhou Robert Paolini J. Andrew Bagnell Matthew T. Mason	1
+ PDF Chat	Automated Pick-Up of Suturing Needles for Robotic Surgical Assistance	2018	Claudia D’Ettorre George Dwyer Xiaofei Du François Chadebecq Francisco Vasconcelos Elena De Momi Danail Stoyanov	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Distilling Knowledge From a Deep Pose Regressor Network	2019	Muhamad Risqi U. Saputra Pedro Gusmao Yasin Almalıoğlu Andrew Markham Niki Trigoni	1
+ PDF Chat	Learning dexterous in-hand manipulation	2019	OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafał Józefowicz Bob McGrew Jakub Pachocki Arthur J Petron Matthias Plappert Glenn Powell Alex Ray	1
+	Dream to Control: Learning Behaviors by Latent Imagination	2019	Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi	1
+ PDF Chat	Model-based Reinforcement Learning: A Survey	2023	Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker	1
+ PDF Chat	Robot contact task state estimation via position-based action grammars	2016	Juan Rojas Zhenjie Huang Kensuke Harada	1
+ PDF Chat	A Reliable Gravity Compensation Control Strategy for dVRK Robotic Arms With Nonlinear Disturbance Forces	2019	Hongbin Lin Chiu-Wai Vincent Hui Yan Wang Anton Deguet Peter Kazanzides Kwok Wai Samuel Au	1
+ PDF Chat	Mastering Atari, Go, chess and shogi by planning with a learned model	2020	Julian Schrittwieser Ioannis Antonoglou Thomas Hubert Karen Simonyan Laurent Sifre Simon Schmitt Arthur Guez Edward Lockhart Demis Hassabis Thore Graepel	1
+	Mastering Atari with Discrete World Models	2020	Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba	1
+ PDF Chat	SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning	2021	Jiaqi Xu Bin Li Bo Lu Yunhui Liu Qi Dou Pheng‐Ann Heng	1
+ PDF Chat	Bimanual Regrasping for Suture Needles using Reinforcement Learning for Rapid Motion Planning	2021	Zih-Yun Chiu Florian Richter Emily K. Funk Ryan K. Orosco Michael C. Yip	1
+ PDF Chat	Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles	2022	Albert Wilcox Justin Kerr Brijen Thananjeyan Jeffrey Ichnowski Minho Hwang Samuel Paradis Danyal Fer Ken Goldberg	1
+	DayDreamer: World Models for Physical Robot Learning	2022	Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel	1
+	Dream and Search to Control: Latent Space Planning for Continuous Control	2020	Anurag Koul Varun V. Kumar Alan Fern Somdeb Majumdar	1
+	Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models	2018	Kurtland Chua Roberto Calandra Rowan McAllister Sergey Levine	1
+	Proceedings of the 29th International Conference on Machine Learning (ICML-12)	2012	John Langford Joëlle Pineau	1
+	A New Data Source for Inverse Dynamics Learning	2017	Daniel Kappler Franziska Meier Nathan Ratliff Stefan Schaal	1
+	Bayesian nonparametric learning of complex dynamical phenomena	2009	Emily B. Fox	1
+ PDF Chat	Sim-to-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery	2022	Paul Maria Scheikl Eleonora Tagliabue Balázs Gyenes Martin Wagner Diego Dall’Alba Paolo Fiorini Franziska Mathis-Ullrich	1
+	Probability Estimates for Multi-class Classification by Pairwise Coupling	2004	Tingfan Wu Chih‐Jen Lin Ruby C. Weng	1