Research on dynamic parameter identification of space hyper-redundant manipulators using iterative WLS-TCS algorithm by ZHANG Wenjun, LI Yi, ZHOU Yufei, ZHANG Haohao, ZHU Mingchao, TANG Bo

“…An iterative WLS-TCS algorithm was proposed to identify the ground dynamics parameters of the space hyper-redundant manipulator, which laid a foundation for obtaining the high-precision dynamic model of the manipulator and the research of space in-orbit dynamic control.MethodsFirstly, the terminal crossover and steering-based particle swarm optimization (TCS-PSO) algorithm was used to design periodic Fourier series satisfying multiple constraints as the optimal excitation trajectory. …”
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Apple Trajectory Prediction in Orchards: A YOLOv8-EK-IPF Approach by Jinxing Niu, Zhengyi Liu, Shuo Wang, Jiaxi Huang, Junlong Zhao

“…This research provides technical support for dynamic apple trajectory prediction in orchard environments.…”
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Modular multilevel converter periodic trajectory determination — A generic Fourier-based collocation method by Philippe De Rua, Jef Beerten

“…In the case of the MMC, the periodic trajectory determination is challenging due to nonlinearity and delays in the differential equations, in particular when control dynamics are taken into account. …”
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PSO Tuned Super-Twisting Sliding Mode Controller for Trajectory Tracking Control of an Articulated Robot by Zewdalem Abebaw Ayinalem, Abrham Tadesse Kassie

“…Articulated manipulators, though, pose challenges due to their complex, nonlinear nature and susceptibility to uncertainties such as parameter changes, joint friction, and external disturbances. Designing robust trajectory tracking control for these dynamics is a key focus. …”
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A physics-informed neural network-based method for predicting degradation trajectories and remaining useful life of supercapacitors by Lixin E, Jun Wang, Ruixin Yang, Chenxu Wang, Hailong Li, Rui Xiong

“…The balance between these two loss components is dynamically determined through Bayesian optimization, to enhance the model's accuracy further. …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…Experimental results demonstrate that, compared to the traditional Gaussian Mixture Model approach, the proposed method improves trajectory accuracy by more than 15%, as shown by reductions in both the Mean Absolute Error and the Root Mean Square Error. …”
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A Solar Trajectory Model for Multi-Spectral Image Correction of DOM from Long-Endurance UAV in Clear Sky by Siyao Wu, Ke Nie, Xia Lu, Wei Fan, Shengmao Zhang, Fei Wang

“…However, most studies have focused on short-endurance UAVs, with limited attention given to long-endurance UAVs due to the challenges posed by dynamically changing incident radiative energy. This study addresses this gap by employing a solar trajectory model (STM) to accurately estimate incident radiative energy, thereby improving reflectance calculation precision. …”
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GRU–Transformer Hybrid Model for GNSS/INS Integration in Orchard Environments by Peng Gao, Jinzhen Fang, Junlin He, Shuang Ma, Guanghua Wen, Zhen Li

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Sign-Entropy Regularization for Personalized Federated Learning by Koffka Khan

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Dynamic Monitoring of Goaf Stress Field and Rock Deformation Driven by Optical Diber Sensing Technology by Jing Chai, Zhe Yan, Yibo Ouyang, Dingding Zhang, Jianfeng Yang, Gaoyi Yang, Chenyang Ma

“…By coupling the fracture mechanics model of the critical layer and the settlement trajectory function model, the dynamic transformation of the pre-fracture and post-fracture stages is realized, and the stress evolution can be monitored and predicted in real time. …”
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Investigation of Knee Torque Dynamics in Single-Leg Transfemoral Prosthetic during Walking Using Mathematical Modeling by Peguy Kameni Nteutse, Abebe Geletu

“…These findings highlight the importance of optimizing the design and performance of transfemoral prosthetic devices to improve the knee torque dynamics and overall functionality of amputees. …”
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AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments—a narrative review by Xuanchi Guo, Yuhan Shao

“…Clinical practice has shown that AI has formed a complete closed loop of clinical application by optimizing the process of treatment plan development, realizing dynamic adjustment mechanisms, and enhancing patient compliance based on mobile medical platforms. …”
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Time-Variation Damping Dynamic Modeling and Updating for Cantilever Beams with Double Clearance Based on Experimental Identification by Yunhe Zhang, Fanjun Meng, Xueguang Li, Wei Song, Dashun Zhang, Faping Zhang

“…In comparison with the initial dynamic model based on constant damping, the modal assurance criterion (MAC) of the proposed improved model based on time-variation damping is improved by 43.97%, the mean relative error (MRE) of the frequency response function (FRF) is reduced by 32.6%, and the root mean square error (RMSE) is reduced by 18.19%. …”
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2HR-Net VSLAM: Robust visual SLAM based on dual high-reliability feature matching in dynamic environments. by Wang Yang, Huang Chao, Zhang Yi, Tan Shuyi

“…In addition, compared with ORB-SLAM3, the root mean square error (RMSE) and standard deviation (S.D.) of the Absolute Trajectory Error (ATE) in various dynamic scenarios were reduced by approximately 90%, indicating higher localization accuracy and stability. …”
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Physics-data hybrid dynamic model of a multi-axis manipulator for sensorless dexterous manipulation and high-performance motion planning by Wu-Te Yang, Jyun-Ming Liao, Pei-Chun Lin

“…Lastly, a learning-based motion planner based on the hybrid dynamic model assists in planning time-efficient trajectories for the manipulator. …”
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Automatic serving method of volleyball training robot based on improved YOLOv5 and improved Hough transform by Tao Sun, Xiaolong He, Jiajun Zhang

“…The success rate in capturing dynamic targets reached 95.6%, and the trajectory tracking error was reduced to 0.1 m, significantly improving the automation level in volleyball sports. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…The primary research trends include improving the accuracy of visual element recognition and enhancing the ability to recognize specific scene elements. While pedestrian trajectory tracking and space syntax-based visual fields are well-developed in dynamic visual information, there is still a gap in the quantification and visualization of motion-induced visual cues, such as optical flow and motion parallax. …”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…Additionally, two self-supervised tasks are designed for improved model accuracy and robustness. (3) Results: The fine-tuned model had comparatively optimal performance metrics with significant reductions in Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Squared Error (RMSE). (4) Conclusions: Ultimately, the integration of this model into travel time prediction, based on two large-scale real-world trajectory datasets, demonstrates enhanced performance and computational efficiency.…”
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A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/... by Wanqiang Chen, Yunpeng Jing, Shuo Zhao, Lei Yan, Quancheng Liu, Zichang He

“…This framework predicts and optimizes each robot’s kinematic model, thereby improving the system’s collaborative operations and dynamic decision-making capabilities. …”
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Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles by Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal

“…A machine learning methodology based on a YOLO algorithm is trained and optimized to identify defects of strength s = ±1 and determine their trajectories during the annihilation process of umbilics of opposite sign. …”
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