Journal of Bionic Engineering最新文献

{"title":"A Biomimetic Magnetic-Responsive Surface With the Dynamic Antifouling Property Inspired by Calliphora Vicina Wing","authors":"You Chen,&nbsp;Zijing Quan,&nbsp;Xiaofeng Jiang,&nbsp;Hanliang Ding,&nbsp;Bo Li,&nbsp;Jie Zhao,&nbsp;Shichao Niu,&nbsp;Zhiwu Han,&nbsp;Luquan Ren","doi":"10.1007/s42235-025-00681-0","DOIUrl":"10.1007/s42235-025-00681-0","url":null,"abstract":"<div><p>Superhydrophobic/superhydrophilic antifouling materials are widely used to solve the severe water pollution and bio-adhesion of marine equipment. However, conventional antifouling materials rely on the static superwettability of surfaces, which suffer from poorly sustained antifouling effects. Inspired by the unique dynamic antifouling strategies of <i>Calliphora Vicina</i> wing surface based on the hydrophobic micro-cilia arrays, a Biomimetic Magnetic-Responsive Antifouling Surface (BMRAS) is designed and fabricated using a method combining UV lithography and an inverse molding. The BMRAS is coated by high-aspect-ratio micro-cilia, which are filled with synthesized magnetic Fe₃O₄ nanoparticles. The bioinspired hydrophobic micro-cilia arrays endow the BMRAS with excellent intrinsic superhydrophobicity, benefiting from the high-aspect-ratio feature and roughness effect. Remarkably, the static contact angle is more than 156.9 ± 1.6° and the rolling angle is less than 2.3 ± 0.3°. The synthesized magnetic nanomaterials play a key role in implementing dynamic antifouling strategies. On the one hand, the surface tension can be adjusted as required under magnetically controlled oscillations. On the other hand, the doping of magnetic nanomaterials can enhance mechanical properties and reduce capillary force-induced aggregation of high-aspect-ratio micro-cilia. The antifouling tests demonstrate that the chemically modified micro-cilia can effectively expel gravels under the stimulation of an external magnetic field and enable the BMRAS to achieve dynamic self-cleaning. Specifically, 0.17 g gravel distributed on BMRAS can be completely cleaned up within 0.296 s, which improved by 14.2% compared with the flat materials. This work provides a brief and effective strategy for designing dynamic antifouling surfaces with excellent physicochemical durability and great potential value in the applications of marine fouling.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1352 - 1363"},"PeriodicalIF":5.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AES-SEA and Bionic Knee Based Lower Limb Exoskeleton Design and LQR-virtual Tunnel Control","authors":"Yi Long,&nbsp;Zhibin Cai,&nbsp;Hexiao Guo","doi":"10.1007/s42235-025-00678-9","DOIUrl":"10.1007/s42235-025-00678-9","url":null,"abstract":"<div><p>The lower limb assisted exoskeleton is a prominent area of research within the field of exoskeleton technology. However, several challenges remain, including the development of flexible actuators, high battery consumption, the risk of joint misalignment, and limited assistive capabilities. This paper proposes a compact flexible actuator incorporating two elastic elements named Adjustable Energy Storage Series Elastic Actuator (AES-SEA), which combining an adjustable energy storage device with a series elastic actuator for application in exoskeleton hip joints. This design aims to enhance energy efficiency and improve assistive effects. Subsequently, we introduce a novel knee joint bionic structure based on a pulley-groove configuration and a four-link mechanism, designed to replicate human knee joint motion and prevent joint misalignment. Additionally, we propose an innovative controller that integrates concepts from Linear Quadratic Regulator (LQR) control and virtual tunnel for level walking assistance. This controller modulates the assisted reference trajectory using the virtual tunnel concept, enabling different levels of assistance both inside and outside the tunnel by adjusting the parameters <span>(Q)</span> and <span>(R)</span>. This approach enhances the assisting force while ensuring the safety of human-computer interaction. Finally, metabolic experiments were conducted to evaluate the effectiveness of the exoskeleton assistance.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1231 - 1248"},"PeriodicalIF":5.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in Research of Wall-climbing Robots: from Biology to Bionics-A Review","authors":"Junchao Kong,&nbsp;Aihong Ji,&nbsp;Qingfei Han,&nbsp;Huan Shen,&nbsp;Shijia Liu,&nbsp;Wenrui Xiang,&nbsp;Qiangqiang Zhang","doi":"10.1007/s42235-025-00689-6","DOIUrl":"10.1007/s42235-025-00689-6","url":null,"abstract":"<div><p>Wall-climbing robots can stably ascend vertical walls and even ceilings, making them suitable for specialized tasks in high-risk, confined, and harsh conditions. Therefore, they have excellent application prospects and substantial market demand. However, several challenges remain, including limited load-carrying capacity, short operational duration, a high risk of detachment, and the lack of standardized physical and control interfaces for carrying auxiliary equipment to complete missions. This study analyzes the macro and micro structures and movement mechanisms of typical organisms in terms of negative pressure adsorption, hook-and-claw adhesion, dry adhesion, and wet adhesion. The exploration of biological wall-climbing mechanisms is integrated with the adhesion techniques used in practical wall-climbing robots. Additionally, the mechanisms, properties, and typical wall-climbing robots associated with adhesion technologies were investigated, including negative pressure adsorption, hook-and-claw adhesion, bionic dry adhesion, bionic wet adhesion, electrostatic adhesion, and magnetic adhesion. Furthermore, the typical gaits of quadruped and hexapod robots are analyzed, and bionic control techniques such as central pattern generators, neural networks, and compliant control are applied. Finally, the future development trends of wall-climbing robots will be examined from multiple perspectives, including the diversification of bionic mechanisms, the advancement of mechanical structure intelligence, and the implementation of intelligent adaptive control. Moreover, this paper establishes a solid foundation for the innovative design of bionic wall-climbing robots and provides valuable guidance for future advancements.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"945 - 981"},"PeriodicalIF":5.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42235-025-00689-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TERIME: An Improved RIME Algorithm With Enhanced Exploration and Exploitation for Robust Parameter Extraction of Photovoltaic Models","authors":"Shi-Shun Chen,&nbsp;Yu-Tong Jiang,&nbsp;Wen-Bin Chen,&nbsp;Xiao-Yang Li","doi":"10.1007/s42235-025-00679-8","DOIUrl":"10.1007/s42235-025-00679-8","url":null,"abstract":"<div><p>Parameter extraction of photovoltaic (PV) models is crucial for the planning, optimization, and control of PV systems. Although some methods using meta-heuristic algorithms have been proposed to determine these parameters, the robustness of solutions obtained by these methods faces great challenges when the complexity of the PV model increases. The unstable results will affect the reliable operation and maintenance strategies of PV systems. In response to this challenge, an improved rime optimization algorithm with enhanced exploration and exploitation, termed TERIME, is proposed for robust and accurate parameter identification for various PV models. Specifically, the differential evolution mutation operator is integrated in the exploration phase to enhance the population diversity. Meanwhile, a new exploitation strategy incorporating randomization and neighborhood strategies simultaneously is developed to maintain the balance of exploitation width and depth. The TERIME algorithm is applied to estimate the optimal parameters of the single diode model, double diode model, and triple diode model combined with the Lambert-W function for three PV cell and module types including RTC France, Photo Watt-PWP 201 and S75. According to the statistical analysis in 100 runs, the proposed algorithm achieves more accurate and robust parameter estimations than other techniques to various PV models in varying environmental conditions. All of our source codes are publicly available at https://github.com/dirge1/TERIME.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1535 - 1556"},"PeriodicalIF":5.8,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145163796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of Flapping Wing Aerial Vehicle Using Hybrid Phase-functioned Neural Network Based on Flight Data","authors":"Zhihao Zhao,&nbsp;Zhiling Jiang,&nbsp;Chenyang Zhang,&nbsp;Guanghua Song","doi":"10.1007/s42235-025-00692-x","DOIUrl":"10.1007/s42235-025-00692-x","url":null,"abstract":"<div><p>Modeling the dynamics of flapping wing aerial vehicle is challenging due to the complexity of aerodynamic effects and mechanical structures. The aim of this work is to develop an accurate dynamics model of flapping wing aerial vehicle based on real flight data. We propose a modeling framework that combines rigid body dynamics with a neural network to predict aerodynamic effects. By incorporating the concept of flapping phase, we significantly enhance the network’s ability to analyze transient aerodynamic behavior. We design and utilize a phase-functioned neural network structure for aerodynamic predictions and train the network using real flight data. Evaluation results show that the network can predict aerodynamic effects and demonstrate clear physical significance. We verify that the framework can be used for dynamic propagation and is expected to be utilized for building simulators for flapping wing aerial vehicles.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1126 - 1142"},"PeriodicalIF":5.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Swarm-based Cost-sensitive Decision Tree Using Optimized Rules for Imbalanced Data Classification","authors":"Mehdi Mansouri,&nbsp;Mohammad H. Nadimi-Shahraki,&nbsp;Zahra Beheshti","doi":"10.1007/s42235-025-00673-0","DOIUrl":"10.1007/s42235-025-00673-0","url":null,"abstract":"<div><p>Despite the widespread use of Decision trees (DT) across various applications, their performance tends to suffer when dealing with imbalanced datasets, where the distribution of certain classes significantly outweighs others. Cost-sensitive learning is a strategy to solve this problem, and several cost-sensitive DT algorithms have been proposed to date. However, existing algorithms, which are heuristic, tried to greedily select either a better splitting point or feature node, leading to local optima for tree nodes and ignoring the cost of the whole tree. In addition, determination of the costs is difficult and often requires domain expertise. This study proposes a DT for imbalanced data, called Swarm-based Cost-sensitive DT (SCDT), using the cost-sensitive learning strategy and an enhanced swarm-based algorithm. The DT is encoded using a hybrid individual representation. A hybrid artificial bee colony approach is designed to optimize rules, considering specified costs in an F-Measure-based fitness function. Experimental results using datasets compared with state-of-the-art DT algorithms show that the SCDT method achieved the highest performance on most datasets. Moreover, SCDT also excels in other critical performance metrics, such as recall, precision, F1-score, and AUC, with notable results with average values of 83%, 87.3%, 85%, and 80.7%, respectively.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1434 - 1458"},"PeriodicalIF":5.8,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145161609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Experiment of a Compact 3-DOF Humanoid Wrist with High Payload Capacity","authors":"Shengyin Wang,&nbsp;Zirong Luo,&nbsp;Shanjun Chen,&nbsp;Yiming Zhu,&nbsp;Haisen Zeng,&nbsp;Jianzhong Shang","doi":"10.1007/s42235-025-00690-z","DOIUrl":"10.1007/s42235-025-00690-z","url":null,"abstract":"<div><p>The wrist unit is crucial in humanoid robots, determining their operational dexterity and precision. To address current challenges such as excessive size, limited Degrees of Freedom (DoFs), and insufficient load capacity, we propose a 3-DoF humanoid wrist inspired by the human forearm and wrist anatomy. This paper explores the principles of wrist bionic design and introduces a parallel mechanism actuated by a brushless DC motor (BLDC)-ball screw to achieve flexion/extension (F/E) and radial flexion/ulnar deviation (R/U), as along with pronation/supination (P/S) through an end-coupling design. We conducted an analysis on the inverse kinematic model and singularities of the humanoid wrist. Additionally, the workspace and motion capabilities of the humanoid wrist were evaluated. A prototype based on this design was built to demonstrate its motion and functional performance, verifying the feasibility and practicality of the humanoid wrist. This research provides a more compact design approach for future humanoid wrist development.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1265 - 1286"},"PeriodicalIF":5.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Geyser-Inspired Optimization Algorithm with Adaptive Turbulence and Dynamic Pressure Equilibrium for Data Clustering","authors":"Laith Abualigah,&nbsp;Saleh Ali Alomari,&nbsp;Mohammad H. Almomani,&nbsp;Raed Abu Zitar,&nbsp;Hazem Migdady,&nbsp;Kashif Saleem,&nbsp;Aseel Smerat,&nbsp;Vaclav Snasel,&nbsp;Absalom E. Ezugwu","doi":"10.1007/s42235-025-00694-9","DOIUrl":"10.1007/s42235-025-00694-9","url":null,"abstract":"<div><p>While Metaheuristic optimization techniques are known to work well for clustering and large-scale numerical optimization, algorithms in this category suffer from issues like reinforcement stagnation and poor late-stage refinement. In this paper, we propose the Improved Geyser-Inspired Optimization Algorithm (IGIOA), an enhancement of the Geyser-Inspired Optimization Algorithm (GIOA), which integrates two primary components: the Adaptive Turbulence Operator (ATO) and the Dynamic Pressure Equilibrium Operator (DPEO). ATO allows IGIOA to periodically disrupt stagnation and explore different regions by using turbulence, while DPEO ensures refinement in later iterations by adaptively modulating convergence pressure. We implemented IGIOA on 23 benchmark functions with both unimodal and multimodal contours, in addition to eight problems pertaining to cluster analysis at the UCI. IGIOA, out of all the tested methods, was able to converge most accurately while also achieving a stable convergence rate. The mitigation of premature convergence and low-level exploitation was made possible by the turbulence and pressure-based refinements. The findings from the tests confirm that the adaptation of baseline strategies by IGIOA helps deal with complex data distributions more effectively. However, additional hyperparameters which add complexity are introduced, along with increased computational cost. These include automatic tuning of parameters, ensemble or parallel variations, and hybridization with dedicated local search strategies to extend the reach of IGIOA for general optimization while also specializing it for clustering focused tasks and applications.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1400 - 1433"},"PeriodicalIF":5.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Untethered Soft Crawling Robot Based on Origami Inspired Soft-rigid Hybrid Actuator","authors":"Jianbin Liu,&nbsp;Guoyu Ma,&nbsp;Tianyu Zhang,&nbsp;Xianlei Shan,&nbsp;Rongjie Kang,&nbsp;Rencheng Zheng,&nbsp;Haitao Liu","doi":"10.1007/s42235-025-00682-z","DOIUrl":"10.1007/s42235-025-00682-z","url":null,"abstract":"<div><p>This paper presents an untethered pneumatic soft robot which can crawl both in horizontal and vertical pipes with different sizes and cross sections. This robot uses modular origami inspired soft-rigid hybrid actuator to produce telescoping and anchoring movements powered by vacuum pressure. The introduction of grooves to valley crease significantly lowers the full contraction vacuum pressure and improves the response, allowing the system can be driven by an onboard micro vacuum pump, enabling the possibility of miniaturization, integration, and untethered operation of the robot. A series of crawling experiments in pipes with different sizes and cross sections constructed by acrylic are conducted to validate the crawling performance of the robot. Within square cross-section pipes, the robot can achieve a velocity of 9.4 mm/s in horizontal crawling and 7.7 mm/s in vertical upward crawling. For horizontal crawling in circular pipes, it can reach a velocity of 8.0 mm/s. When fully charged, the robot can crawl for 40 min with a mileage of 16.649 m, which is sufficient for most drainage and industrial pipelines detection tasks. The robot demonstrates excellent endurance and speed performance that exceed most existing untethered soft pipe crawling robots.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1071 - 1084"},"PeriodicalIF":5.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multi-group Meta-heuristic Optimization with Dynamic Population Partition and Hybrid Strategies: Algorithm and Applications","authors":"Dongshuai Niu,&nbsp;Guangwen Yi,&nbsp;Long Chen,&nbsp;Zhenzhou Tang","doi":"10.1007/s42235-025-00675-y","DOIUrl":"10.1007/s42235-025-00675-y","url":null,"abstract":"<div><p>To further improve upon the deficiencies of traditional algorithms in terms of population diversity, convergence accuracy, and speed, this paper introduces a Dynamic Multi-Population Hybrid Metaheuristic Algorithm (DHA). DHA dynamically categorizes the population into Elite, Follower, and Explorer subgroups, applying specific strategies: a novel dimension-wise Gaussian mutation combined with the Sine Cosine Algorithm (SCA) for the Elite, a randomized spiral search for the Explorer, and Lévy flight for the Follower. Rigorous testing on benchmark sets like CEC2005, CEC2017, and CEC2019, alongside practical application in Service Function Chain (SFC) mapping, underscores DHA’s superior performance and applicability.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 3","pages":"1459 - 1483"},"PeriodicalIF":5.8,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}