Outputs (23)

An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection (2022)
Presentation / Conference Contribution
Li, J., Guo, Q., Gao, G., Tang, S., Min, G., Li, C., & Yu, H. (2022, August). An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection. Presented at International Conference on Intelligent Robotics and Applications, Harbin, China

Vision-detection-based grasping is one of the research hotspots in the field of automated production. As the grasping scenes become more and more diversified, 3D images are increasingly chosen as the input images for object recognition in complex rec... Read More about An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection.

Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise (2022)
Presentation / Conference Contribution
Tao, C., Zhang, Z., Huo, B., Liu, Y., Li, J., & Yu, H. (2022, August). Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise. Presented at International Conference on Intelligent Robotics and Applications, Harbin, China

The wrist tremor suppression system designed based on functional electrical stimulation technology has been welcomed by the majority of tremor patients as a non-invasive rehabilitation therapy. Due to the complex physiological structure characteristi... Read More about Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise.

A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism (2022)
Presentation / Conference Contribution
Wang, X., Wang, Y., Lu, C., Yu, H., He, H., & Li, Z. (2021, December). A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. Presented at 2021 International Conference on Advanced Mechatronic Systems (ICAMechS), Tokyo, Japan

Loose wearing or self-placement usually causes sensor displacement, which can deteriorate the performance of classifiers in real use. As a case study, this paper focuses on investigating the effect of wrist-worn sensor displacement on human activity... Read More about A case study: effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism.

Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators (2021)
Presentation / Conference Contribution
Beg, M., Sun, D., Popescu, C., Alcock, K. M., Onyianta, A. J., O'Rourke, D., Goh, K., & Yu, H. (2021, September). Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators. Presented at 2021 26th International Conference on Automation and Computing (ICAC), Portsmouth, United Kingdom

Water hyacinth is an invasive plant that can be converted to high value cellulose nanofibers. This study presents battery separators prepared from water hyacinth cellulose nanofibres (WHCNF) via a freeze-thawing crosslinking method, using polyethylen... Read More about Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators.

Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning (2021)
Presentation / Conference Contribution
Song, S., Yang, L., Huo, B., Wu, M., Liu, Y., & Yu, H. Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Recent years, the research of gesture recognition based on surface EMG signal has become an active topic. The conventional methods mainly focus on feature engineering, but the sEMG signal is non-stationary temporally, which makes proper feature desig... Read More about Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning.

Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints (2021)
Presentation / Conference Contribution
Cao, G., Shi, H., Xia, D., Zheng, Y., Liu, Y., & Yu, H. Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. Presented at 2021 Chinese Intelligent Automation Conference, Zhanjiang, China

Fabricated by superelastic materials, soft actuators are an emerging field to provide a solution of safe interaction with complicated, unstructured and frequently brittle work environments, while they also bear challenges in fragility and controlling... Read More about Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints.

An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP (2020)
Presentation / Conference Contribution
Jiang, J., Yao, X., Yang, E., Mehnen, J., & Yu, H. (2020, July). An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP. Presented at 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, United Kingdom

The material transportation planning with a mobile robot can be regarded as the ordered clustered traveling salesman problem. To solve such problems with different priorities at stations, an improved adaptive genetic simulated annealing algorithm is... Read More about An Improved Adaptive Genetic Algorithm for Mobile Robot Path Planning Analogous to the Ordered Clustered TSP.

How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective (2019)
Presentation / Conference Contribution
Shamim, S., Cang, S., Yu, H., Li, Y., Chen, L. Y., & Yao, X. (2019, August). How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective. Presented at 2019 International Conference on Advanced Mechatronic Systems (ICAMechS), Kusatsu, Shiga, Japan

This study offers a view point from a strategic management perspective which shows that firms in emerging economies can learn Industry 4.0 from their foreign partners operating from developed economies, by developing knowledge based dynamic capabilit... Read More about How firms in emerging economies can learn industry 4.0 by extracting knowledge from their foreign partners? A view point from strategic management perspective.

Design and Modelling of a Micro Swimming Robot (2019)
Presentation / Conference Contribution
Yuan, F., Hasan, M. S., & Yu, H. (2019). Design and Modelling of a Micro Swimming Robot. In 2019 International Conference on Advanced Mechatronic Systems (ICAMechS). https://doi.org/10.1109/icamechs.2019.8861606

Swimming micro-robots i.e., micro-swimmers have many applications in various areas e.g., investigation, repair, rescue etc. for industrial equipment, space exploration, human body etc. Fortunately, the micro-swimmers can be regarded as swimming in lo... Read More about Design and Modelling of a Micro Swimming Robot.

Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot (2019)
Presentation / Conference Contribution
Zhao, Y., Wei, H., Li, P., Li, G., Qi, L., & Yu, H. (2019, August). Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot. Presented at 12th International Conference, ICIRA 2019, Shenyang, China

In recent years, the demand for massage robots has increased dramatically in the field of Medical care. Traditional massage robots are mostly rigid robots. Compared with rigid robots, soft robots are more suitable for massage because of their softnes... Read More about Design and Experimental Study of a New Flexible Driven Parallel Soft Massage Robot.