Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. - Jackson Cornelius; Blake Brockner; Seong Hyeon Hong; Yi Wang 070; Kapil Pant; John E. Ball (ICPHM, 2020)

GPU-based Global Path Planning Using Genetic Algorithm with Near Corner Initialization. - Junlin Ou; Seong Hyeon Hong; Paul Ziehl; Yi Wang 070 (J. Intell. Robotic Syst., 2022)

Physics-guided neural network and GPU-accelerated nonlinear model predictive control for quadcopter. - Seong Hyeon Hong; Junlin Ou; Yi Wang 070 (Neural Comput. Appl., 2023)

A multi-sensor feature fusion network model for bearings grease life assessment in accelerated experiments. - Zhuocheng Jiang; Seong Hyeon Hong; Benjamin Albia; Adrian A. Hood; Asha J. Hall; Jackson Cornelius; Yi Wang 070 (Neural Comput. Appl., 2023)

GPU-enabled microfluidic design automation for concentration gradient generators. - Seong Hyeon Hong; Jung-Il Shu; Junlin Ou; Yi Wang 070 (Eng. Comput., 2023)

Multi-fidelity reduced-order model for GPU-enabled microfluidic concentration gradient design. - Haizhou Yang; Seong Hyeon Hong; Gang Wang; Yi Wang 070 (Eng. Comput., 2023)

A low-cost indoor positioning system based on data-driven modeling for robotics research and education. - Junlin Ou; Seong Hyeon Hong; Tristan Kyzer; Haizhou Yang; Xianlian Zhou 001; Yi Wang 070 (Robotica, 2023)

Hybrid path planning based on adaptive visibility graph initialization and edge computing for mobile robots. - Junlin Ou; Seong Hyeon Hong; Ge Song; Yi Wang 070 (Eng. Appl. Artif. Intell., 2023)

Energy consumption auditing based on a generative adversarial network for anomaly detection of robotic manipulators. - Ge Song; Seong Hyeon Hong; Tristan Kyzer; Yi Wang 070 (Future Gener. Comput. Syst., 2023)

Artificial neural network-based model predictive visual servoing for mobile robots. - Seong Hyeon Hong; Benjamin Albia; Tristan Kyzer; Jackson Cornelius; Eric R. Mark; Asha J. Hall; Yi Wang 070 (Robotica, 2024)