Pinxin Long

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All published works

Action	Title	Year	Authors
+ PDF Chat	Optimization-Based Framework for Excavation Trajectory Generation	2021	Yajue Yang Pinxin Long Xibin Song Jia Pan Liangjun Zhang
+ PDF Chat	Learning Resilient Behaviors for Navigation Under Uncertainty	2020	Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan Ruigang Yang Dinesh Manocha
+	Time Variable Minimum Torque Trajectory Optimization for Autonomous Excavator	2020	Yajue Yang Pan Jia Pinxin Long Xibin Song Liangjun Zhang
+	Optimization-Based Framework for Excavation Trajectory Generation	2020	Yajue Yang Pinxin Long Jia Pan Xinbin Song Liangjun Zhang
+	AES: Autonomous Excavator System for Real-World and Hazardous Environments	2020	Jinxin Zhao Pinxin Long Liyang Wang Lingfeng Qian Feixiang Lu Xibin Song Dinesh Manocha Liangjun Zhang
+	Learning Resilient Behaviors for Navigation Under Uncertainty Environments.	2019	Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan Ruigang Yang Dinesh Manocha
+ PDF Chat	Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds	2019	Tingxiang Fan Xinjing Cheng Jia Pan Pinxin Long Wenxi Liu Ruigang Yang Dinesh Manocha
+	Learning Resilient Behaviors for Navigation Under Uncertainty	2019	Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan Ruigang Yang Dinesh Manocha
+ PDF Chat	Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning	2018	Pinxin Long Tingxiang Fanl Xinyi Liao Wenxi Liu Hao Zhang Jia Pan
+	Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios	2018	Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan
+	Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds	2018	Tingxiang Fan Xinjing Cheng Jia Pan Pinxin Long Wenxi Liu Ruigang Yang Dinesh Manocha
+ PDF Chat	Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation	2017	Pinxin Long Wenxi Liu Jia Pan
+	Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning	2017	Pinxin Long Tingxiang Fan Xinyi Liao Wenxi Liu Hao Zhang Jia Pan
+	Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation	2016	Pinxin Long Wenxi Liu Jia Pan
+	DoraPicker: An Autonomous Picking System for General Objects	2016	Hao Zhang Pinxin Long Dandan Zhou Zhongfeng Qian Zheng Wang Weiwei Wan Dinesh Manocha Chonhyon Park Tommy Hu Chao Cao

Common Coauthors

Coauthor	Papers Together
Jia Pan	13
Wenxi Liu	10
Dinesh Manocha	7
Tingxiang Fan	7
Ruigang Yang	5
Yajue Yang	3
Xibin Song	3
Xinjing Cheng	2
Xinyi Liao	2
Hao Zhang	2
Liangjun Zhang	2
Liangjun Zhang	2
Weiwei Wan	1
Hao Zhang	1
Yibo Chen	1
Liyang Wang	1
Dandan Zhou	1
Chao Cao	1
Tommy Hu	1
Jinxin Zhao	1
Tingxiang Fanl	1
Lingfeng Qian	1
Zheng Wang	1
Chonhyon Park	1
Zhongfeng Qian	1
Feixiang Lu	1
Xinbin Song	1
Marco Chow	1
Pan Jia	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep-Learned Collision Avoidance Policy for Distributed Multiagent Navigation	2017	Pinxin Long Wenxi Liu Jia Pan	5
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	5
+ PDF Chat	Socially aware motion planning with deep reinforcement learning	2017	Yu Fan Chen Michael Everett Miao Liu Jonathan P. How	5
+ PDF Chat	Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning	2018	Pinxin Long Tingxiang Fanl Xinyi Liao Wenxi Liu Hao Zhang Jia Pan	5
+	Uncertainty-Aware Reinforcement Learning for Collision Avoidance	2017	Gregory Kahn Adam Villaflor Vitchyr H. Pong Pieter Abbeel Sergey Levine	4
+ PDF Chat	Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation	2017	Lei Tai Giuseppe Paolo Ming Liu	4
+ PDF Chat	PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning	2018	Aleksandra Faust Kenneth Oslund Óscar Ramírez Anthony Francis Lydia Tapia Marek Fišer James Davidson	4
+ PDF Chat	From perception to decision: A data-driven approach to end-to-end motion planning for autonomous ground robots	2017	Mark G. Pfeiffer Michael Schaeuble Juan Nieto Roland Siegwart César Cadena	4
+ PDF Chat	Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning	2018	Michael Everett Yu Fan Chen Jonathan P. How	3
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	3
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	3
+ PDF Chat	Domain randomization for transferring deep neural networks from simulation to the real world	2017	Josh Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel	3
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	3
+	Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios	2018	Tingxiang Fan Pinxin Long Wenxi Liu Jia Pan	3
+ PDF Chat	Learning Navigation Behaviors End-to-End With AutoRL	2019	Hao-Tien Lewis Chiang Aleksandra Faust Marek Fišer Anthony Francis	3
+ PDF Chat	Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling	2018	Sungjoon Choi Kyungjae Lee Sungbin Lim Songhwai Oh	3
+ PDF Chat	Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection	2017	Sergey Levine Peter Pástor Alex Krizhevsky Julian Ibarz Deirdre Quillen	3
+ PDF Chat	Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds	2019	Tingxiang Fan Xinjing Cheng Jia Pan Pinxin Long Wenxi Liu Ruigang Yang Dinesh Manocha	3
+ PDF Chat	Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning	2017	Yu Fan Chen Miao Liu Michael Everett Jonathan P. How	3
+ PDF Chat	Safe Reinforcement Learning With Model Uncertainty Estimates	2019	Björn Lütjens Michael Everett Jonathan P. How	3
+ PDF Chat	Sim-to-Real Transfer of Robotic Control with Dynamics Randomization	2018	Xue Bin Peng Marcin Andrychowicz Wojciech Zaremba Pieter Abbeel	3
+ PDF Chat	A General, Fast, and Robust Implementation of the Time-Optimal Path Parameterization Algorithm	2014	Quang‐Cuong Pham	2
+	Markov Localization for Mobile Robots in Dynamic Environments	1999	D. Fox Wolfram Burgard Sebastian Thrun	2
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	2
+ PDF Chat	Target-driven visual navigation in indoor scenes using deep reinforcement learning	2017	Yuke Zhu Roozbeh Mottaghi Eric Kolve Joseph J. Lim Abhinav Gupta Li Fei-Fei Ali Farhadi	2
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	2
+ PDF Chat	Social force model for pedestrian dynamics	1995	Dirk Helbing Péter Molnár	2
+ PDF Chat	A General Framework for Uncertainty Estimation in Deep Learning	2020	Antonio Loquercio Mattia Segù Davide Scaramuzza	2
+ PDF Chat	Learning monocular reactive UAV control in cluttered natural environments	2013	Stéphane Ross Narek Melik-Barkhudarov Kumar Shaurya Shankar Andreas Wendel Debadeepta Dey J. Andrew Bagnell Martial Hebert	2
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	2
+	High-Dimensional Continuous Control Using Generalized Advantage Estimation	2015	John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel	2
+ PDF Chat	Robust Optimization for Deep Regression	2015	Vasileios Belagiannis Christian Rupprecht Gustavo Carneiro Nassir Navab	2
+ PDF Chat	PORCA: Modeling and Planning for Autonomous Driving Among Many Pedestrians	2018	Yuanfu Luo Panpan Cai Aniket Bera David Hsu Wee Sun Lee Dinesh Manocha	2
+	End to End Learning for Self-Driving Cars	2016	Mariusz Bojarski Davide Del Testa Daniel Dworakowski Bernhard Firner Beat Flepp Prasoon Goyal Lawrence D. Jackel Mathew Monfort Urs Müller Jiakai Zhang	2
+	Time-optimal control with direct collocation and variable discretization	2020	Christoph Rösmann Artemi Makarow Torsten Bertram	2
+	Emergence of Locomotion Behaviours in Rich Environments	2017	Nicolas Heess Dhruva Tb Sriram Srinivasan Jay Lemmon Josh Merel Greg Wayne Yuval Tassa Tom Erez Ziyu Wang S. M. Ali Eslami	2
+ PDF Chat	Simulating dynamical features of escape panic	2000	Dirk Helbing Illés J. Farkas Tamás Vicsek	2
+ PDF Chat	Teaching robots to do object assembly using multi-modal 3D vision	2017	Weiwei Wan Feng Lu Zepei Wu Kensuke Harada	1
+ PDF Chat	MixedPeds: Pedestrian Detection in Unannotated Videos Using Synthetically Generated Human-Agents for Training	2018	Ernest Cheung Anson Wong Aniket Bera Dinesh Manocha	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place	2016	Colin Rennie Rahul Shome Kostas E. Bekris Alberto F. De Souza	1
+	Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks	2016	Peter Ondrúška Ingmar Posner	1
+	Deep Exploration via Bootstrapped DQN	2016	Ian Osband Charles Blundell Alexander Pritzel Benjamin Van Roy	1
+	End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks	2016	Peter Ondrúška Julie Dequaire Dominic Zeng Wang Ingmar Posner	1
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	1
+ PDF Chat	Point Set Registration: Coherent Point Drift	2010	Andriy Myronenko Xubo Song	1
+ PDF Chat	Asymptotically optimal sampling-based kinodynamic planning	2016	Yanbo Li Zakary Littlefield Kostas E. Bekris	1
+	Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments	2016	Jingwei Zhang Jost Tobias Springenberg Joschka Boedecker Wolfram Burgard	1
+	Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation	2017	Lei Tai Giuseppe Paolo Ming Liu	1