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2020 – today
- 2022
[j8]Hongyi Chen
, Changliu Liu:
Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments. IEEE Control. Syst. Lett. 6: 1928-1933 (2022)- [c34]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. L4DC 2022: 97-109 - [c33]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. L4DC 2022: 739-750 - [i40]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Transferable and Adaptable Driving Behavior Prediction. CoRR abs/2202.05140 (2022) - [i39]Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu:
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. CoRR abs/2203.03017 (2022) - [i38]Alvin Shek, Rui Chen, Changliu Liu:
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. CoRR abs/2203.04951 (2022) - [i37]Abulikemu Abuduweili, Changliu Liu:
An Optical Controlling Environment and Reinforcement Learning Benchmarks. CoRR abs/2203.12114 (2022) - [i36]Ruixuan Liu, Rui Chen, Changliu Liu:
Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR abs/2204.03038 (2022) - [i35]Jessica EnShiuan Leu, Yujiao Cheng, Changliu Liu, Masayoshi Tomizuka:
Robust Task Planning for Assembly Lines with Human-Robot Collaboration. CoRR abs/2204.07936 (2022) - [i34]Jaskaran Grover, Nishant Mohanty, Wenhao Luo, Changliu Liu, Katia P. Sycara:
Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CoRR abs/2204.10945 (2022) - 2021
- [j7]Ruixuan Liu, Changliu Liu:
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. 5(5): 1651-1656 (2021) - [j6]Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021) - [c32]Ruixuan Liu, Changliu Liu:
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC 2021: 3725-3730 - [c31]Weiye Zhao, Tairan He, Changliu Liu:
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL 2021: 784-793 - [c30]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Feasible Region-Based System Identification Using Duality. ECC 2021: 255-262 - [c29]Jerry An, Giulia Giordano, Changliu Liu:
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. ECC 2021: 2408-2413 - [c28]Hongyu Zhou, Changliu Liu:
Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. ICRA 2021: 8330-8336 - [c27]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Parameter Identification for Multirobot Systems Using Optimization-based Controllers. MRS 2021: 173-180 - [c26]Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Deadlock Analysis and Resolution for Multi-robot Systems. WAFR 2021: 294-312 - [i33]Hongyu Zhou, Changliu Liu:
Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. CoRR abs/2101.07994 (2021) - [i32]Jerry An, Giulia Giordano, Changliu Liu:
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. CoRR abs/2103.14118 (2021) - [i31]Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR abs/2104.08896 (2021) - [i30]Tianhao Wei, Changliu Liu:
Online Verification of Deep Neural Networks under Domain or Weight Shift. CoRR abs/2106.12732 (2021) - [i29]Boshen Niu, Chenxi Wang, Changliu Liu:
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRR abs/2108.02303 (2021) - [i28]Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu:
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning. CoRR abs/2108.06589 (2021) - [i27]Ruixuan Liu, Changliu Liu:
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. CoRR abs/2108.06871 (2021) - [i26]Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results. CoRR abs/2109.00498 (2021) - [i25]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. CoRR abs/2110.01110 (2021) - [i24]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. CoRR abs/2111.00788 (2021) - [i23]Yihang Yao, Tianhao Wei, Changliu Liu:
Safe Control of Arbitrary Nonlinear Systems using Dynamic Extension. CoRR abs/2111.04615 (2021) - [i22]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. CoRR abs/2111.07695 (2021) - [i21]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. CoRR abs/2111.12953 (2021) - [i20]Rui Chen, Alvin Shek, Changliu Liu:
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands. CoRR abs/2112.06020 (2021) - [i19]Letian Wang, Yeping Hu, Changliu Liu:
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. CoRR abs/2112.06129 (2021) - 2020
- [j5]Yujiao Cheng, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Towards Efficient Human-Robot Collaboration With Robust Plan Recognition and Trajectory Prediction. IEEE Robotics Autom. Lett. 5(2): 2602-2609 (2020) - [c25]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC 2020: 4349-4354 - [c24]Rohit Jena, Changliu Liu, Katia P. Sycara:
Augmenting GAIL with BC for sample efficient imitation learning. CoRL 2020: 80-90 - [c23]Boshen Niu, Chenxi Wang, Changliu Liu:
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRL 2020: 2030-2039 - [c22]Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. IV 2020: 349-356 - [c21]Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. L4DC 2020: 65-74 - [i18]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR abs/2001.09550 (2020) - [i17]Changliu Liu:
A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning. CoRR abs/2004.12959 (2020) - [i16]Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu:
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR abs/2008.03826 (2020) - [i15]Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version). CoRR abs/2009.13817 (2020) - [i14]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Feasible Region-based Identification Using Duality (Extended Version). CoRR abs/2011.04904 (2020)
2010 – 2019
- 2019
- [j4]Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles. ACM Trans. Embed. Comput. Syst. 18(5s): 95:1-95:21 (2019) - [c20]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Semi-adaptable Neural Networks. ACC 2019: 4884-4890 - [c19]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions. CDC 2019: 238-243 - [c18]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [c17]Wenwen Si, Tianhao Wei, Changliu Liu:
AGen: Adaptable Generative Prediction Networks for Autonomous Driving. IV 2019: 281-286 - [c16]Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka:
Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. IV 2019: 1400-1407 - [i13]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - [i12]Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. CoRR abs/1903.06758 (2019) - [i11]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. CoRR abs/1908.01883 (2019) - [i10]Abulikemu Abuduweili, Siyan Li, Changliu Liu:
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration. CoRR abs/1909.05089 (2019) - [i9]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case. CoRR abs/1911.09146 (2019) - [i8]Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. CoRR abs/1912.01790 (2019) - [i7]Charles Noren, Changliu Liu:
Safe Adaptation Using Energy Functions. CoRR abs/1912.09095 (2019) - 2018
- [j3]Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka:
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. SIAM J. Control. Optim. 56(4): 2712-2733 (2018) - [j2]Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka:
Distributed Conflict Resolution for Connected Autonomous Vehicles. IEEE Trans. Intell. Veh. 3(1): 18-29 (2018) - [c15]Jianyu Chen, Changliu Liu, Masayoshi Tomizuka:
FOAD: Fast Optimization-based Autonomous Driving Motion Planner. ACC 2018: 4725-4732 - [c14]Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka:
Improving Efficiency of Autonomous Vehicles by V2V Communication. ACC 2018: 4778-4783 - [c13]Hsien-Chung Lin, Changliu Liu, Masayoshi Tomizuka:
Fast Robot Motion Planning with Collision Avoidance and Temporal Optimization. ICARCV 2018: 29-35 - [c12]Changliu Liu, Mykel J. Kochenderfer:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. ITSC 2018: 2352-2357 - [i6]Changliu Liu, Mykel J. Kochenderfer:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. CoRR abs/1804.04746 (2018) - [i5]Changliu Liu, Mykel J. Kochenderfer:
Analyzing Traffic Delay at Unmanaged Intersections. CoRR abs/1806.02660 (2018) - [i4]Changliu Liu, Masayoshi Tomizuka:
Robot Safe Interaction System for Intelligent Industrial Co-Robots. CoRR abs/1808.03983 (2018) - [i3]Changliu Liu, Te Tang, Hsien-Chung Lin, Yujiao Cheng, Masayoshi Tomizuka:
SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots. CoRR abs/1809.08215 (2018) - [i2]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Adaptable Neural Networks. CoRR abs/1810.00781 (2018) - 2017
- [j1]Changliu Liu, Masayoshi Tomizuka:
Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification. Syst. Control. Lett. 108: 56-63 (2017) - [c11]Changliu Liu, Chung-Yen Lin, Yizhou Wang, Masayoshi Tomizuka:
Convex feasible set algorithm for constrained trajectory smoothing. ACC 2017: 4177-4182 - [c10]Hsien-Chung Lin, Changliu Liu, Yongxiang Fan, Masayoshi Tomizuka:
Real-time collision avoidance algorithm on industrial manipulators. CCTA 2017: 1294-1299 - [c9]Changliu Liu, Wei Zhan, Masayoshi Tomizuka:
Speed profile planning in dynamic environments via temporal optimization. Intelligent Vehicles Symposium 2017: 154-159 - [c8]Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka:
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. Intelligent Vehicles Symposium 2017: 632-639 - [c7]Changliu Liu, Yizhou Wang, Masayoshi Tomizuka:
Boundary layer heuristic for search-based nonholonomic path planning in maze-like environments. Intelligent Vehicles Symposium 2017: 831-836 - [i1]Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka:
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. CoRR abs/1709.00627 (2017) - 2016
- [c6]Changliu Liu, Masayoshi Tomizuka:
Enabling safe freeway driving for automated vehicles. ACC 2016: 3461-3467 - [c5]Changliu Liu, Wenlong Zhang, Masayoshi Tomizuka:
Who to Blame? learning and control strategies with information asymmetry. ACC 2016: 4859-4864 - [c4]Changliu Liu, Masayoshi Tomizuka:
Algorithmic safety measures for intelligent industrial co-robots. ICRA 2016: 3095-3102 - [c3]Te Tang, Changliu Liu, Wenjie Chen, Masayoshi Tomizuka:
Robotic manipulation of deformable objects by tangent space mapping and non-rigid registration. IROS 2016: 2689-2696 - [c2]Wei Zhan, Changliu Liu, Ching-Yao Chan, Masayoshi Tomizuka:
A non-conservatively defensive strategy for urban autonomous driving. ITSC 2016: 459-464 - 2015
- [c1]Changliu Liu, Masayoshi Tomizuka:
Safe exploration: Addressing various uncertainty levels in human robot interactions. ACC 2015: 465-470
Coauthor Index
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