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2020 – today
- 2024
[j9]Seong Hyeon Hong
, Benjamin Albia, Tristan Kyzer, Jackson Cornelius, Eric R. Mark, Asha J. Hall, Yi Wang:
Artificial neural network-based model predictive visual servoing for mobile robots. Robotica 42(8): 2825-2847 (2024)- 2023
- [j8]Junlin Ou, Seong Hyeon Hong, Ge Song, Yi Wang:
Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots. Eng. Appl. Artif. Intell. 126(Part D): 107110 (2023) - [j7]Seong Hyeon Hong, Jung-Il Shu, Junlin Ou, Yi Wang:
GPU-enabled microfluidic design automation for concentration gradient generators. Eng. Comput. 39(2): 1637-1652 (2023) - [j6]Haizhou Yang, Seong Hyeon Hong, Gang Wang, Yi Wang:
Multi-fidelity reduced-order model for GPU-enabled microfluidic concentration gradient design. Eng. Comput. 39(4): 2869-2887 (2023) - [j5]Ge Song, Seong Hyeon Hong, Tristan Kyzer, Yi Wang:
Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators. Future Gener. Comput. Syst. 149: 376-389 (2023) - [j4]Seong Hyeon Hong, Junlin Ou, Yi Wang:
Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter. Neural Comput. Appl. 35(1): 393-413 (2023) - [j3]Zhuocheng Jiang, Seong Hyeon Hong, Benjamin Albia, Adrian A. Hood, Asha J. Hall, Jackson Cornelius, Yi Wang:
A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments. Neural Comput. Appl. 35(8): 5923-5937 (2023) - [j2]Junlin Ou, Seong Hyeon Hong, Tristan Kyzer, Haizhou Yang, Xianlian Zhou, Yi Wang:
A low-cost indoor positioning system based on data-driven modeling for robotics research and education. Robotica 41(9): 2648-2667 (2023) - 2022
- [j1]Junlin Ou, Seong Hyeon Hong, Paul Ziehl, Yi Wang:
GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization. J. Intell. Robotic Syst. 104(2): 34 (2022) - 2020
- [c1]Jackson Cornelius, Blake Brockner, Seong Hyeon Hong, Yi Wang, Kapil Pant, John E. Ball:
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. ICPHM 2020: 1-8
Coauthor Index
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