TIANYI ZENG's Outputs (3)

Deep reinforcement learning-based non-causal control for wave energy conversion (2024)
Journal Article
Wang, H., Wijaya, V., Zeng, T., & Zhang, Y. (2024). Deep reinforcement learning-based non-causal control for wave energy conversion. Ocean Engineering, 311(Part 1), Article 118860. https://doi.org/10.1016/j.oceaneng.2024.118860

As one of the most promising renewable energy resources, ocean wave energy has not been widely commercialized compared to wind energy and solar energy due to its high Levelized Cost of Electricity (LCoE). It has been long recognized... Read More about Deep reinforcement learning-based non-causal control for wave energy conversion.

Efficient and Scalable Inverse Kinematics for Continuum Robots (2023)
Journal Article
Wild, S., Zeng, T., Mohammad, A., Billingham, J., Axinte, D., & Dong, X. (2024). Efficient and Scalable Inverse Kinematics for Continuum Robots. IEEE Robotics and Automation Letters, 9(1), 375 - 381. https://doi.org/10.1109/lra.2023.3331291

With their flexible nature, continuum robots offer hyper-redundancy regarding their workspace; their backbone can take many shapes upon a single tip position and orientation. Deciphering which backbone shape to use under certain conditions is crucial... Read More about Efficient and Scalable Inverse Kinematics for Continuum Robots.

A Robust Human–Robot Collaborative Control Approach Based on Model Predictive Control (2023)
Journal Article
Zeng, T., Mohammad, A., Madrigal, A. G., Axinte, D., & Keedwell, M. (2024). A Robust Human–Robot Collaborative Control Approach Based on Model Predictive Control. IEEE Transactions on Industrial Electronics, 71(7), 7360-7369. https://doi.org/10.1109/TIE.2023.3299046

Human skill-based robotic control to perform critical manufacturing operations (e.g., repair and inspection for high-value assets) can reduce scrap rates and increase overall profitability in the industrial community. In this study, a human–robotic c... Read More about A Robust Human–Robot Collaborative Control Approach Based on Model Predictive Control.