All Outputs (3)

Multimodal locomotion ultra-thin soft robots for exploration of narrow spaces (2024)
Journal Article
Wang, X., Li, S., Chang, J.-C., Liu, J., Axinte, D., & Dong, X. (2024). Multimodal locomotion ultra-thin soft robots for exploration of narrow spaces. Nature Communications, 15, Article 6296. https://doi.org/10.1038/s41467-024-50598-1

From power plants on land to bridges over the sea, safety-critical built environments require periodic inspections for detecting issues to avoid functional discontinuities of these installations. However, navigation paths in these environments are us... Read More about Multimodal locomotion ultra-thin soft robots for exploration of narrow spaces.

Non-Causal Control For Wave Energy Conversion Based on the Double Deep Q Network (2024)
Presentation / Conference Contribution
Wang, H., Wijaya, V. V., Zhang, Y., Zeng, T., & Dong, X. (2024, April). Non-Causal Control For Wave Energy Conversion Based on the Double Deep Q Network. Presented at CONTROL 2024: 14th United Kingdom Automatic Control Council (UKACC) International Conference on Control, Winchester, UK

To harness maximal wave energy, control and optimization for wave energy converters(WECs) have been investigated for decades. It has been long recognized that WEC control is essentially a non-causal control problem, in which future wave determines cu... Read More about Non-Causal Control For Wave Energy Conversion Based on the Double Deep Q Network.

SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement (2024)
Journal Article
Liu, S., Sun, E., & Dong, X. (2024). SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement. Robotica, https://doi.org/10.1017/S0263574724000079

SLAM Benchmark plays a pivotal role in the field by providing a common ground for performance evaluation. In this paper, a novel methodology of simultaneous localization and mapping benchmark and map accuracy improvement (SLAMB&MAI) is introduced. It... Read More about SLAMB&MAI: a comprehensive methodology for SLAM benchmark and map accuracy improvement.