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All Outputs (10)

Kirigami‐Inspired Three‐Dimensional Metamaterials with Programmable Isotropic and Orthotropic Thermal Expansion (2024)
Journal Article
Gu, Y., Wei, Z., Wei, G., You, Z., Ma, J., & Chen, Y. (2024). Kirigami‐Inspired Three‐Dimensional Metamaterials with Programmable Isotropic and Orthotropic Thermal Expansion. Advanced materials, 36(50), Article 2411232. https://doi.org/10.1002/adma.202411232

Mechanical metamaterials with specifically designed cells can provide unusual thermal expansion properties for diverse applications. Limited by very few available cell topologies and complicated non‐linear structural deformation, most existing therma... Read More about Kirigami‐Inspired Three‐Dimensional Metamaterials with Programmable Isotropic and Orthotropic Thermal Expansion.

A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots (2024)
Journal Article
Amiri, P., Müller, M., Southgate, M., Theodoridis, T., Wei, G., Richards-Brown, M., & Holderbaum, W. (2024). A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots. #Journal not on list, 8(5), 216. https://doi.org/10.3390/jmmp8050216

This paper aims to elucidate the state-of-the-art, prevailing priorities, and the focus of the industry, and identify both limitations and potential gaps regarding industrial robots and collaborative robots (cobots). Additionally, it outlines the adv... Read More about A Statistical Analysis of Commercial Articulated Industrial Robots and Cobots.

Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control (2024)
Journal Article

In tactile sensing, decoding the journey from afferent tactile signals to efferent motor commands is a significant challenge primarily due to the difficulty in capturing population-level afferent nerve signals during active touch. This study integrat... Read More about Human tactile sensing and sensorimotor mechanism: from afferent tactile signals to efferent motor control.

An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis (2024)
Journal Article

To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st... Read More about An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.

Development and Characteristics of a Highly Biomimetic Robotic Shoulder Inspired by Musculoskeletal Mechanical Intelligence (2024)
Journal Article
Yang, H., Wei, G., & Ren, L. (2024). Development and Characteristics of a Highly Biomimetic Robotic Shoulder Inspired by Musculoskeletal Mechanical Intelligence. IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 40, 2672 - 2691. https://doi.org/10.1109/tro.2024.3390057

This article provides a comprehensive analysis of the existing landscape of conventional and highly biomimetic robotic arms, highlighting a prevalent tradeoff between size, range of motion, and load capacity in current highly biomimetic designs. To o... Read More about Development and Characteristics of a Highly Biomimetic Robotic Shoulder Inspired by Musculoskeletal Mechanical Intelligence.

Enhancing the Performance of a Biomimetic Robotic Elbow-and-Forearm System Through Bionics-Inspired Optimization (2024)
Journal Article
Yang, H., Wei, G., & Ren, L. (2024). Enhancing the Performance of a Biomimetic Robotic Elbow-and-Forearm System Through Bionics-Inspired Optimization. IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 40, 2692 - 2711. https://doi.org/10.1109/tro.2024.3386615

This article delineates the formulation and verification of an innovative robotic elbow-and-forearm system design, mirroring the intricate biomechanics of human musculoskeletal systems. Conventional robotic models often undervalue the substantial fun... Read More about Enhancing the Performance of a Biomimetic Robotic Elbow-and-Forearm System Through Bionics-Inspired Optimization.

Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques (2024)
Journal Article
Shukla, K., Holderbaum, W., Theodoridis, T., & Wei, G. (in press). Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques. Machines, 12(4), 261. https://doi.org/10.3390/machines12040261

Efficient gearbox fault diagnosis is crucial for the cost-effective maintenance and reliable operation of rotating machinery. Despite extensive research, effective fault diagnosis remains challenging due to the multitude of features available for cla... Read More about Enhancing Gearbox Fault Diagnosis through Advanced Feature Engineering and Data Segmentation Techniques.

Sarrus-inspired deployable polyhedral mechanisms (2024)
Journal Article
Gu, Y., Zhang, X., Wei, G., & Chen, Y. (2024). Sarrus-inspired deployable polyhedral mechanisms. Mechanism and Machine Theory, 193, 105564. https://doi.org/10.1016/j.mechmachtheory.2023.105564

Deployable polyhedral mechanisms (DPMs) have witnessed flourishing growth in recent years because of their potential applications in robotics, space exploration, structure engineering, and so forth. This paper firstly presents the construction, mobil... Read More about Sarrus-inspired deployable polyhedral mechanisms.