Tao Zhang, Zhaofeng Liang, Hongmin Zheng, Zibiao Chen, Kunquan Zheng, Ran Xu, Jiabin Liu, Haifei Zhu, Yisheng Guan, Kun Xu, Xilun Ding
{"title":"Mole-inspired Forepaw Design and Optimization Based on Resistive Force Theory","authors":"Tao Zhang, Zhaofeng Liang, Hongmin Zheng, Zibiao Chen, Kunquan Zheng, Ran Xu, Jiabin Liu, Haifei Zhu, Yisheng Guan, Kun Xu, Xilun Ding","doi":"10.1007/s42235-024-00633-0","DOIUrl":"10.1007/s42235-024-00633-0","url":null,"abstract":"<div><p>Moles exhibit highly effective capabilities due to their unique body structures and digging techniques, making them ideal models for biomimetic research. However, a major challenge for mole-inspired robots lies in overcoming resistance in granular media when burrowing with forelimbs. In the absence of effective forepaw design strategies, most robotic designs rely on increased power to enhance performance. To address this issue, this paper employs Resistive Force Theory to optimize mole-inspired forepaws, aiming to enhance burrowing efficiency. By analyzing the relationship between geometric parameters and burrowing forces, we propose several forepaw design variations. Through granular resistance assessments, an effective forepaw configuration is identified and further refined using parameters such as longitudinal and transverse curvature. Subsequently, the Particle Swarm Optimization algorithm is applied to determine the optimal forepaw design. In force-loading tests, the optimized forepaw demonstrated a 79.44% reduction in granular lift force and a 22.55% increase in propulsive force compared with the control group. In robotic burrowing experiments, the optimized forepaw achieved the longest burrow displacement (179.528 mm) and the lowest burrowing lift force (0.9355 mm/s), verifying its effectiveness in reducing the lift force and enhancing the propulsive force.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"171 - 180"},"PeriodicalIF":4.9,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108983","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}
Di Zhao, Xinbo Wang, Fanbo Wei, Lei Ren, Kunyang Wang, Luquan Ren
{"title":"Design, Modeling, and Validation of a Tendon-driven Series Elastic Actuator Based on Magnetic Position Sensing","authors":"Di Zhao, Xinbo Wang, Fanbo Wei, Lei Ren, Kunyang Wang, Luquan Ren","doi":"10.1007/s42235-024-00626-z","DOIUrl":"10.1007/s42235-024-00626-z","url":null,"abstract":"<div><p>Tendon-driven robots have distinct advantages in high-dynamic performance motion and high-degree-of-freedom manipulation. However, these robots face challenges related to control complexity, intricate tendon drive paths, and tendon slackness. In this study, the authors present a novel modular tendon-driven actuator design that integrates a series elastic element. The actuator incorporates a unique magnetic position sensing technology that enables observation of the length and tension of the tendon and features an exceptionally compact design. The modular architecture of the tendon-driven actuator addresses the complexity of tendon drive paths, while the tension observation functionality mitigates slackness issues. The design and modeling of the actuator are described in this paper, and a series of tests are conducted to validate the simulation model and to test the performance of the proposed actuator. The model can be used for training robot control neural networks based on simulation, thereby overcoming the challenges associated with controlling tendon-driven robots.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"195 - 213"},"PeriodicalIF":4.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108806","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":"Study of the Inhibition of Schumann Resonance-inspired Electromagnetic Field on Cancer Cell Proliferation","authors":"Xianqiang Yan, Xuelei Liu, Shujun Zhang, Zhenning Liu, Luquan Ren","doi":"10.1007/s42235-024-00624-1","DOIUrl":"10.1007/s42235-024-00624-1","url":null,"abstract":"<div><p>Organisms on Earth evolve and coexist with natural Electromagnetic Fields (EMFs). Although many reports have suggested the potential anti-neoplastic effects of EMFs with specific parameters, the studies on the influence of natural EMFs on cancers are still rare. Herein, an EMF emitter has been developed to investigate the effects of the extremely-low frequency SR-mimicking EMF (SREMF) on cancer and normal cell proliferation. The numerical simulation has revealed that the emitter with specific parameters is able to enhance EMF intensity and uniformity on the designated plane above the emitter. More importantly, honeycomb-like emitter array can generate a stronger EMF intensity on the 20 mm plane above the array. Cell colony formation assays have demonstrated that SREMF generated by the honeycomb-like emitter array can significantly inhibit Hela cell proliferation in a cell-density-dependent manner. The morphological changes of SREMF-exposed Hela cells suggest that the anti-proliferative effect of SREMF may be caused by apoptosis induction. In contrast, no detrimental effect is observed for SREMF-treated normal cells, which probably can be explained by the evolutionary adaptation. Hence, this work can not only contribute to understanding the impact of natural EMF on creatures, but also afford a novel strategy to personalized cancer prevention and treatment.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"341 - 353"},"PeriodicalIF":4.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108810","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":"Comprehensive Evaluation of Biomechanical and Biological Properties of the Porous Irregular Scaffolds Based on Voronoi-tessellation","authors":"Yuzhu Wang, Chenhao Ma, Yufeng Wu, Dawei Gao, Yue Meng, Haibin Wang","doi":"10.1007/s42235-024-00630-3","DOIUrl":"10.1007/s42235-024-00630-3","url":null,"abstract":"<div><p>The irregular porous structure, similar to human bone tissue, is more beneficial for bone ingrowth than the regular one. We proposed a new design method to create uniform and gradient irregular porous structures with porosities from 38 to 83% based on Voronoi tessellation. The models were fabricated using selective laser sintering, and micro-CT was used to assess their morphological features. Mechanical and fluid flow properties were evaluated through experiments and computational fluid dynamics simulations. Micro-CT scans confirmed that 3D printing can produce high-quality irregular structures. The Graded Irregular (GI) structure showed clear advantages in mechanical properties by reducing stress shielding and improving hydrodynamic performance with higher fluid flow velocity and lower permeability compared to the Uniform Irregular (UI) structure. Additionally, in vitro cell experiments indicated that the GI structure was better than the UI structure in promoting osteogenic differentiation, while in vivo animal studies showed that the GI structure was superior in terms of the ratio of Bone Volume to Total Volume (BV/TV) and Trabecular Number (Tb.N). Thus, the GI structure has greater application potential in bone tissue engineering.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"322 - 340"},"PeriodicalIF":4.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108809","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":"Adaptive Multi-strategy Rabbit Optimizer for Large-scale Optimization","authors":"Baowei Xiang, Yixin Xiang","doi":"10.1007/s42235-024-00608-1","DOIUrl":"10.1007/s42235-024-00608-1","url":null,"abstract":"<div><p>As optimization problems continue to grow in complexity, the need for effective metaheuristic algorithms becomes increasingly evident. However, the challenge lies in identifying the right parameters and strategies for these algorithms. In this paper, we introduce the adaptive multi-strategy Rabbit Algorithm (RA). RA is inspired by the social interactions of rabbits, incorporating elements such as exploration, exploitation, and adaptation to address optimization challenges. It employs three distinct subgroups, comprising male, female, and child rabbits, to execute a multi-strategy search. Key parameters, including distance factor, balance factor, and learning factor, strike a balance between precision and computational efficiency. We offer practical recommendations for fine-tuning five essential RA parameters, making them versatile and independent. RA is capable of autonomously selecting adaptive parameter settings and mutation strategies, enabling it to successfully tackle a range of 17 CEC05 benchmark functions with dimensions scaling up to 5000. The results underscore RA’s superior performance in large-scale optimization tasks, surpassing other state-of-the-art metaheuristics in convergence speed, computational precision, and scalability. Finally, RA has demonstrated its proficiency in solving complicated optimization problems in real-world engineering by completing 10 problems in CEC2020.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"398 - 416"},"PeriodicalIF":4.9,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108808","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":"Robust Walking and Sim-to-Real Optimization for Quadruped Robots via Reinforcement Learning","authors":"Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang","doi":"10.1007/s42235-024-00618-z","DOIUrl":"10.1007/s42235-024-00618-z","url":null,"abstract":"<div><p>Achieving robust walking for different stairs is one of the most challenging tasks for quadruped robots in real world. Traditional model-based methods heavily rely on environmental factors, are burdened by intricate modelling complexities, and lack generalizability. The potential for advancements in adaptive locomotion control, often impeded by complex modelling processes, can be substantially enhanced through the application of Reinforcement Learning (RL). In this paper, a learning-based method is proposed to directionally enhance the stair-climbing skill of quadruped robots under different stair conditions. First, the general policy model based on proprioceptive perception is trained as a pre-training model. Then, the pre-training model was initialized, and different terrain information from the stairs was introduced for customized training to enhance the stair-climbing skill without affecting the existing locomotion performance. Finally, the customized control policy is deployed to the real robot to realize motion control in real environments. The experimental results demonstrate that the customized control policy can significantly improve the motion performance of quadruped robots when facing complex stair terrains and has certain generalizability in other complex terrains. The proposed algorithm can be extended to various terrestrial environments.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"107 - 117"},"PeriodicalIF":4.9,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108672","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":"Inherent Kinematics of the Human Thumb IP and MCP Joints During Functional Tasks","authors":"Xinyan Zhou, Zhihui Qian, Kunyang Wang, Jianan Wu, Lei Ren, Guowu Wei, Luquan Ren","doi":"10.1007/s42235-024-00617-0","DOIUrl":"10.1007/s42235-024-00617-0","url":null,"abstract":"<div><p>The human thumb plays a crucial role in performing coordinated hand movements for precise tool use. However, quantifying and interpreting the kinematics and couplings of the six degrees of freedom (6DOF) between the interphalangeal (IP) and metacarpophalangeal (MCP) joints during hand functional tasks remains challenging. To address this issue, advanced dynamic biplane radiography combined with a model-based 2D–3D tracking technique was employed to decode the inherent kinematics of the thumb IP and MCP joints during key pinch, tip pinch, palmar pinch and wide grasp. The results indicate that the functional tasks of the thumb are intricately modulated by the 3D rotational and translational motions of the IP and MCP joints. The IP joint exhibited the greatest flexion/extension range of motion during the tip pinch task (67.2° ± 8.4°), compared to smaller ranges in key pinch (27.6° ± 3.8°) and wide grasp (16.2° ± 7.1°) tasks. In the wide grasp task, the IP joint showed more movement in the radius/ulna direction (3.4 ± 1.2 mm) compared to tip pinch (3.1 ± 0.8 mm). Furthermore, the kinematic data of the IP joint challenge the traditional notion that the IP joint normally acts as a hinge mechanism. The results of this study help to elucidate the kinematics of human thumb IP and MCP joints and may provide new inspiration for the design of high-performance bionic hands or thumb prosthetics as well as for evaluating the outcomes of thumb therapeutic interventions and surgical procedures.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"157 - 170"},"PeriodicalIF":4.9,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143108429","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":"Guidance and Control of Underwater Hexapod Robot Based on Adaptive Sliding Mode Strategy","authors":"Qingshuo Gong, Wei Zhang, Yu Su, Haoyu Yang","doi":"10.1007/s42235-024-00625-0","DOIUrl":"10.1007/s42235-024-00625-0","url":null,"abstract":"<div><p>Animals exhibit remarkable mobility and adaptability to their environments. Leveraging these advantages, various types of robots have been developed. To achieve path tracking control for the underwater hexapod robot, a path tracking control system has been designed. Within this system, a Line-of-Sight (LOS) guidance system is utilized to generate the desired heading angle during the path tracking process. A heading tracking controller and a speed tracking controller are designed based on the super-twisting sliding mode method. Fuzzy logic is employed to establish the nonlinear relationship between the output of the upper-level controller, which includes force/torque, and the input parameters of the Central Pattern Generator (CPG) network. Finally, the effectiveness of the proposed method is verified through simulation and experimentation. The results demonstrate that the robot exhibits good tracking accuracy, as well as stability and coordination in motion. The designed path tracking system enables the underwater hexapod robot to rapidly and accurately track the desired path.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"118 - 132"},"PeriodicalIF":4.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107922","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}
Jingjing Wang, Kangming Hou, Hao Chen, Jing Fang, Hongzhen Li
{"title":"Dual Self-attention Fusion Message Neural Network for Virtual Screening in Drug Discovery by Molecular Property Prediction","authors":"Jingjing Wang, Kangming Hou, Hao Chen, Jing Fang, Hongzhen Li","doi":"10.1007/s42235-024-00610-7","DOIUrl":"10.1007/s42235-024-00610-7","url":null,"abstract":"<div><p>The development of deep learning has made non-biochemical methods for molecular property prediction screening a reality, which can increase the experimental speed and reduce the experimental cost of relevant experiments. There are currently two main approaches to representing molecules: (a) representing molecules by fixing molecular descriptors, and (b) representing molecules by graph convolutional neural networks. Currently, both of these Representative methods have achieved some results in their respective experiments. Based on past efforts, we propose a Dual Self-attention Fusion Message Neural Network (DSFMNN). DSFMNN uses a combination of dual self-attention mechanism and graph convolutional neural network. Advantages of DSFMNN: (1) The dual self-attention mechanism focuses not only on the relationship between individual subunits in a molecule but also on the relationship between the atoms and chemical bonds contained in each subunit. (2) On the directed molecular graph, a message delivery approach centered on directed molecular bonds is used. We test the performance of the model on eight publicly available datasets and compare the performance with several models. Based on the current experimental results, DSFMNN has superior performance compared to previous models on the datasets applied in this paper.</p></div>","PeriodicalId":614,"journal":{"name":"Journal of Bionic Engineering","volume":"22 1","pages":"354 - 369"},"PeriodicalIF":4.9,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143107923","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}