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The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Aug 31, 2021
Stanley Bak, Changliu Liu, Taylor Johnson

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IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance

Aug 16, 2021
Ruixuan Liu, Changliu Liu

* 9 pages, 7 figures. In proceeding to ICML 2021 Workshop of Human in the Loop Learning 

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A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning

Aug 14, 2021
Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu

* 14 pages 

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Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion

Aug 04, 2021
Boshen Niu*, Chenxi Wang*, Changliu Liu

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Online Verification of Deep Neural Networks under Domain or Weight Shift

Jun 24, 2021
Tianhao Wei, Changliu Liu

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Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming

Apr 18, 2021
Weiye Zhao, Suqin He, Changliu Liu

* the first version of draft, currently working on some extensions for journal submission 

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Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control

Jan 20, 2021
Hongyu Zhou, Changliu Liu

* 7 pages, 10 figures 

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Feasible Region-based Identification Using Duality (Extended Version)

Nov 08, 2020
Jaskaran Grover, Changliu Liu, Katia Sycara

* arXiv admin note: text overlap with arXiv:2009.13817 

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Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version)

Sep 29, 2020
Jaskaran Singh Grover, Changliu Liu, Katia Sycara

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Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization

Aug 09, 2020
Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu

* This paper has been accepted to DSCC 2020 

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Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration

Jan 27, 2020
Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka

* This paper has been accepted to ACC (American Control Conference) 2020 

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Safe Adaptation Using Energy Functions

Dec 19, 2019
Charles Noren, Changliu Liu

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Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy

Dec 18, 2019
Abulikemu Abuduweili, Changliu Liu

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Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case

Nov 20, 2019
Jaskaran Grover, Changliu Liu, Katia Sycara

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Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration

Sep 11, 2019
Abulikemu Abuduweili, Siyan Li, Changliu Liu

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Algorithms for Verifying Deep Neural Networks

Mar 15, 2019
Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark Barrett, Mykel J. Kochenderfer

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Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning

Mar 14, 2019
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Driggs-Campbell, Mykel J. Kochenderfer

* Accepted for publication at ICRA 2019 

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Human Motion Prediction using Adaptable Neural Networks

Oct 01, 2018
Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka

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SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots

Sep 21, 2018
Changliu Liu, Te Tang, Hsien-Chung Lin, Yujiao Cheng, Masayoshi Tomizuka

* 19 pages 

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Robot Safe Interaction System for Intelligent Industrial Co-Robots

Aug 12, 2018
Changliu Liu, Masayoshi Tomizuka

* 12 pages 

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The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning

May 19, 2018
Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka

* in SIAM Journal on Control and Optimization 

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