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2020 – today
- 2024
[j21]Peng Wei
, Kaiming Fu, Juan Villacrés, Thomas Ke, Kay Krachenfels, Curtis Ryan Stofer, Nima Bayati, Qikai Gao, Bill Zhang, Eric Vanacker, Zhaodan Kong:
A Compact Handheld Sensor Package with Sensor Fusion for Comprehensive and Robust 3D Mapping. Sensors 24(8): 2494 (2024)- [c23]Jaekeun Sung, Sarah Leary, Victoria S. Hurd, Christian Lee, Yimin Qin, Zhaodan Kong, Torin K. Clark, Allison P. Anderson:
Operationally Realistic Human-Autonomy Teaming Task Simulation to Study Multi-Dimensional Trust. HRI (Companion) 2024: 1028-1032 - [i16]Jason Dekarske, Zhaodan Kong, Sanjay S. Joshi:
Dynamic Human Trust Modeling of Autonomous Agents With Varying Capability and Strategy. CoRR abs/2404.19291 (2024) - [i15]Ziquan Deng, Xiwei Xuan, Kwan-Liu Ma, Zhaodan Kong:
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series. CoRR abs/2405.03234 (2024) - [i14]Jason Dekarske, Gregory Bales, Zhaodan Kong, Sanjay S. Joshi:
Anytime Trust Rating Dynamics in a Human-Robot Interaction Task. CoRR abs/2408.00238 (2024) - 2023
- [j20]Ziquan Deng, Samuel P. Eshima, James Nabity, Zhaodan Kong:
Causal Signal Temporal Logic for the Environmental Control and Life Support System's Fault Analysis and Explanation. IEEE Access 11: 26471-26482 (2023) - [j19]Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen:
Causal explanation for reinforcement learning: quantifying state and temporal importance. Appl. Intell. 53(19): 22546-22564 (2023) - [j18]Xiaoxiao Wang, Minda Zhao, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen:
Quantifying Causal Path-Specific Importance in Structural Causal Model. Comput. 11(7): 133 (2023) - [j17]Prabhash Ragbir, Ajith Kaduwela, David Passovoy, Preet Amin, Shuchen Ye, Christopher Wallis, Christopher Alaimo, Thomas Young, Zhaodan Kong:
UAV-Based Wildland Fire Air Toxics Data Collection and Analysis. Sensors 23(7): 3561 (2023) - [c22]Ashkan Zehfroosh, Zhaodan Kong, Stavros G. Vougioukas:
Efficient Re-synthesis of Control Barrier Function via Safe Exploration. CDC 2023: 5625-5630 - [i13]Xiwei Xuan, Ziquan Deng, Hsuan-Tien Lin, Zhaodan Kong, Kwan-Liu Ma:
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective. CoRR abs/2303.00244 (2023) - [i12]Kaiming Fu, Peng Wei, Juan Villacrés, Zhaodan Kong, Stavros G. Vougioukas, Brian N. Bailey:
Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture. CoRR abs/2310.15138 (2023) - 2022
- [j16]Na Ma, Anil Mantri, Graham Bough, Ayush Patnaik, Siddhesh Yadav, Christian Nansen, Zhaodan Kong:
Data-driven vermiculite distribution modelling for UAV-based precision pest management. Frontiers Robotics AI 9 (2022) - [j15]Peng Wei, Xinfan Lin, Zhaodan Kong:
System identification of wind effects on multirotor aircraft. Int. J. Intell. Robotics Appl. 6(1): 104-118 (2022) - [j14]Peng Wei, Ryan Liang, Andrew Michelmore, Zhaodan Kong:
Vision-Based 2D Navigation of Unmanned Aerial Vehicles in Riverine Environments with Imitation Learning. J. Intell. Robotic Syst. 104(3): 47 (2022) - [j13]Gregory Bales, Zhaodan Kong:
Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective. ACM Trans. Hum. Robot Interact. 11(4): 42:1-42:25 (2022) - [c21]Nicolas Michel, Zhaodan Kong, Xinfan Lin:
Energy-Efficient UAV Trajectory Generation Based on System-Level Modeling of Multi-Physical Dynamics. ACC 2022: 4119-4126 - [i11]Gang Chen, Yu Lu, Rong Su, Zhaodan Kong:
Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network. CoRR abs/2204.07579 (2022) - [i10]Xiaoxiao Wang, Fanyu Meng, Zhaodan Kong, Xin Chen, Xin Liu:
Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance. CoRR abs/2210.13507 (2022) - 2021
- [j12]Ziquan Deng, Zhaodan Kong:
Interpretable Fault Diagnosis for Cyberphysical Systems: A Learning Perspective. Computer 54(9): 30-38 (2021) - [j11]Gang Chen, Xinfan Lin, Zhaodan Kong:
Data-Driven Real-Valued Timed-Failure-Propagation-Graph Refinement for Complex System Fault Diagnosis. IEEE Control. Syst. Lett. 5(3): 1049-1054 (2021) - [j10]Gang Chen, Mei Liu, Zhaodan Kong:
Temporal-Logic-Based Semantic Fault Diagnosis With Time-Series Data From Industrial Internet of Things. IEEE Trans. Ind. Electron. 68(5): 4393-4403 (2021) - 2020
- [j9]Ziquan Deng, Zhaodan Kong:
Multi-Agent Cooperative Pursuit-Defense Strategy Against One Single Attacker. IEEE Robotics Autom. Lett. 5(4): 5772-5778 (2020)
2010 – 2019
- 2019
- [j8]Peng Wei, Sui Nam Chan, Seongkyu Lee, Zhaodan Kong:
Mitigating ground effect on mini quadcopters with model reference adaptive control. Int. J. Intell. Robotics Appl. 3(3): 283-297 (2019) - [c20]Gang Chen, Mei Liu, Zhaodan Kong:
Semantic Inference for Cyber-Physical Systems with Signal Temporal Logic. CDC 2019: 6269-6274 - 2018
- [j7]Kayhan Özcimder, Zhaodan Kong, Shuai Wang, John Baillieul:
Perceiving Artistic Expression: A Formal Exploration of Performance Art Salsa. IEEE Access 6: 61867-61875 (2018) - [c19]Gang Chen, Zhaodan Kong:
Data-Driven Approximate Abstraction for Black-Box Piecewise Affine Systems. ACC 2018: 786-791 - [c18]Gregory Bales, Zhaodan Kong:
Cognitive correlates of EEG spectral power indicate human-swarm task performance. IOT 2018: 34:1-34:6 - [c17]Gang Chen, Zachary Sabato, Zhaodan Kong:
Semantic parsing of automobile steering systems. IOT 2018: 41:1-41:3 - [i9]Gang Chen, Zhaodan Kong:
Data-Driven Approximate Abstraction for Black-Box Piecewise Affine Systems. CoRR abs/1801.09289 (2018) - 2017
- [j6]Zhaodan Kong, Austin Jones, Calin Belta:
Temporal Logics for Learning and Detection of Anomalous Behavior. IEEE Trans. Autom. Control. 62(3): 1210-1222 (2017) - [c16]Gregory Bales, Zhaodan Kong:
Neurophysiological and behavioral studies of human-swarm interaction tasks. SMC 2017: 671-676 - [c15]Zhichao Wang, Bin Wang, Hong Liu, Zhaodan Kong:
Recurrent convolutional networks based intention recognition for human-robot collaboration tasks. SMC 2017: 1675-1680 - [i8]Gang Chen, Zhaodan Kong:
Correct-by-Construction Approach for Self-Evolvable Robots. CoRR abs/1702.04022 (2017) - 2016
- [c14]Gang Chen, Zachary Sabato, Zhaodan Kong:
Active learning based requirement mining for cyber-physical systems. CDC 2016: 4586-4593 - [c13]Derya Aksaray, Austin Jones, Zhaodan Kong, Mac Schwager, Calin Belta:
Q-Learning for robust satisfaction of signal temporal logic specifications. CDC 2016: 6565-6570 - [i7]Gang Chen, Zachary Sabato, Zhaodan Kong:
Active Requirement Mining of Bounded-Time Temporal Properties of Cyber-Physical Systems. CoRR abs/1603.00814 (2016) - [i6]Derya Aksaray, Austin Jones, Zhaodan Kong, Mac Schwager, Calin Belta:
Q-Learning for Robust Satisfaction of Signal Temporal Logic Specifications. CoRR abs/1609.07409 (2016) - 2015
- [c12]Iman Haghighi, Austin Jones, Zhaodan Kong, Ezio Bartocci, Radu Grosu, Calin Belta:
SpaTeL: a novel spatial-temporal logic and its applications to networked systems. HSCC 2015: 189-198 - [c11]Austin Jones, Derya Aksaray, Zhaodan Kong, Mac Schwager, Calin Belta:
Enforcing temporal logic specifications via reinforcement learning. HSCC 2015: 279-280 - [i5]Austin Jones, Derya Aksaray, Zhaodan Kong, Mac Schwager, Calin Belta:
Robust Satisfaction of Temporal Logic Specifications via Reinforcement Learning. CoRR abs/1510.06460 (2015) - 2014
- [c10]Austin Jones, Zhaodan Kong, Calin Belta:
Anomaly detection in cyber-physical systems: A formal methods approach. CDC 2014: 848-853 - [c9]John Baillieul, Zhaodan Kong:
Saliency based control in random feature networks. CDC 2014: 4210-4215 - [c8]Kayhan Özcimder, Zhaodan Kong, John Baillieul:
Algorithmic approaches to artistic movement. CDC 2014: 5373-5380 - [c7]Zhaodan Kong, Austin Jones, Ana Medina Ayala, Ebru Aydin Gol, Calin Belta:
Temporal logic inference for classification and prediction from data. HSCC 2014: 273-282 - [i4]John Baillieul, Zhaodan Kong:
Saliency Based Control in Random Feature Networks. CoRR abs/1403.5462 (2014) - 2013
- [j5]Bérénice Mettler, Navid Dadkhah, Zhaodan Kong, Jonathan Andersh:
Research Infrastructure for Interactive Human- and Autonomous Guidance. J. Intell. Robotic Syst. 70(1-4): 437-459 (2013) - [j4]Bérénice Mettler, Zhaodan Kong:
Mapping and Analysis of Human Guidance Performance From Trajectory Ensembles. IEEE Trans. Hum. Mach. Syst. 43(1): 32-45 (2013) - [j3]Zhaodan Kong, Bérénice Mettler:
Modeling Human Guidance Behavior Based on Patterns in Agent-Environment Interactions. IEEE Trans. Hum. Mach. Syst. 43(4): 371-384 (2013) - [c6]Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, Alison Greco, Diane H. Theriault, Zheng Wu, Thomas H. Kunz, Margrit Betke, John Baillieul:
Optical flow sensing and the inverse perception problem for flying bats. CDC 2013: 1608-1615 - [i3]Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, Alison Greco, Diane H. Theriault, Zheng Wu, Thomas H. Kunz, Margrit Betke, John Baillieul:
Optical Flow Sensing and the Inverse Perception Problem for Flying Bats. CoRR abs/1303.3072 (2013) - [i2]Bérénice Mettler, Zhaodan Kong:
Hierarchical Model of Human Guidance Performance Based on Interaction Patterns in Behavior. CoRR abs/1311.3672 (2013) - [i1]Zhaodan Kong, Kayhan Özcimder, Nathan W. Fuller, John Baillieul:
Perception and Steering Control in Paired Bat Flight. CoRR abs/1311.4419 (2013) - 2011
- [j2]Zhaodan Kong, Bernard Mettler:
Evaluation of Guidance Performance in Urban Terrains for Different UAV Types and Performance Criteria Using Spatial CTG Maps. J. Intell. Robotic Syst. 61(1-4): 135-156 (2011) - [c5]Zhaodan Kong, Bernard Mettler:
Foundations of formal language for humans and artificial systems based on intrinsic structure in spatial behavior. IROS 2011: 3093-3100 - [c4]Zhaodan Kong, Bernard Mettler:
An investigation of spatial behavior in agile guidance tasks. SMC 2011: 2473-2480 - 2010
- [j1]C. Goerzen, Zhaodan Kong, Bernard Mettler:
A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance. J. Intell. Robotic Syst. 57(1-4): 65-100 (2010)
2000 – 2009
- 2009
- [c3]Navid Dadkhah, Venkateshwar Rao Korukanti, Zhaodan Kong, Bernard Mettler:
Experimental demonstration of an online trajectory optimization scheme using approximate spatial value functions. CDC 2009: 2978-2983 - [c2]Zhaodan Kong, Bernard Mettler:
On the general characteristics of 2D optimal obstacle-field guidance solution. CDC 2009: 3448-3453 - 2008
- [c1]Bernard Mettler, Zhaodan Kong:
Receding horizon trajectory optimization with a finite-state value function approximation. ACC 2008: 3810-3816
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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