Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…This paper presents a novel framework based on a Proportional-Derivative Physics-Informed Neural Network (PD-PINN) for real-time trajectory regeneration. Unlike conventional methods that rely on static, precomputed paths, the proposed approach dynamically adapts the reference trajectory using real-time sensor feedback and the system’s physical model. …”
Get full text

A dynamic modeling and trajectory tracking control method for dual-arm mechanism for cabin docking by Ronghua Liu, Feng Pan

“…Finally, the effectiveness of the design, dynamic modeling and control algorithm design of the cabin docking mechanism is verified by software simulation and real experiment. The experimental results show that the control method can realize the accurate tracking and control of the motion trajectory and velocity trajectory of the dual-arm mechanism, and has good robustness. …”
Get full text

Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

“…In the literature, trajectory planning models considering wind uncertainty are developed based on the time-invariant condition (i.e., three-dimensional), which may potentially lead to a significant discrepancy between the predicted flight time and the real flight time. …”
Get full text

Three-Dimensional Dynamic Trajectory Planning for Autonomous Underwater Robots Under the PPO-IIFDS Framework by Liqiang Liu, Min Sun, Enjiao Zhao, Kuang Zhu

“…Meanwhile, PPO functions as the learning and decision-making layer, optimizing critical parameters in IIFDS, including repulsion response coefficients, tangential response coefficients, and directional coefficients, to enhance adaptability and real-time decision-making. …”
Get full text

Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview by Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno

“…Herein, a spike‐based bio‐inspired hippocampus sequential memory model is proposed that makes use of the benefits of analog computing and spiking neural networks (SNNs): noise robustness, improved real‐time operation, and energy efficiency. This model is applied to robotic navigation to learn and recall trajectories that lead to a goal position within a known grid environment. …”
Get full text

ONTraC characterizes spatially continuous variations of tissue microenvironment through niche trajectory analysis by Wen Wang, Shiwei Zheng, Sujung Crystal Shin, Joselyn Cristina Chávez-Fuentes, Guo-Cheng Yuan

“…We introduce ONTraC, a graph neural network-based framework for constructing spatial trajectories at niche-level. Through benchmarking analyses using multiple simulated and real datasets, we show that ONTraC outperforms existing methods. …”
Get full text

Autonomous Tracked Vehicle Trajectory Tracking Control Based on Disturbance Observation and Sliding Mode Control by Xihao Yan, Shuo Wang, Yuxin He, Aixiang Ma, Sihai Zhao

“…A comprehensive simulation and experimental setup for real TMR systems is established to validate the proposed control strategy. …”
Get full text

MM-VSM: Multi-Modal Vehicle Semantic Mesh and Trajectory Reconstruction for Image-Based Cooperative Perception by Márton Cserni, András Rövid, Zsolt Szalay

Get full text

Improved Quintic Polynomial Autonomous Vehicle Lane-Change Trajectory Planning Based on Hybrid Algorithm Optimization by Yuelou Zhang, Lingshan Chen, Ning Li

“…A trajectory planning method is proposed to address the lane-changing problem in intelligent vehicles. …”
Get full text

Enhancing Planning for Autonomous Driving via an Iterative Optimization Framework Incorporating Safety-Critical Trajectory Generation by Zhen Liu, Hang Gao, Yeting Lin, Xun Gong

“…This framework decomposes the optimization process into stages, initially addressing normal trajectories and progressively tackling more safety-critical and collision trajectories. …”
Get full text

A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Multiple experimental datasets were generated by randomly sampling real AIS trajectory data into two trajectory data sources and adding random errors. …”
Get full text

An optimized spatial target trajectory prediction model for multi-sensor data fusion in air traffic management by Jian Dong, Yuan Xu, Rigeng Wu, Chengwang Xiao

“…In this paper, we propose a new deep learning network, and apply it to the real-world engineering challenge of spatial target trajectory prediction in the air traffic management domain.…”
Get full text

Intelligent Energy-Efficient Train Trajectory Optimization Approach Based on Supervised Reinforcement Learning for Urban Rail Transits by Guannan Li, Siu Wing Or, Ka Wing Chan

“…First, multiple objectives are formulated based on real-time train operation and systematically integrated into the RL algorithm by a binary function-based goal-directed reward design method. …”
Get full text

A Disturbance-Observer-Based Prescribed Performance Control Approach for Low-Earth-Orbit Satellite Trajectory Tracking by Yitong Zhou, Jing Chang, Weisheng Chen

“…The scheme establishes a unified framework to accommodate the high-performance requirements of satellite observation, while also incorporating a disturbance observer within this framework to counteract unknown external disturbances. Unlike existing trajectory tracking control methods, the proposed control scheme allows for the flexible selection of performance functions to adapt to diverse satellite performance demands. …”
Get full text

Energy Optimal Trajectory Planning for the Morphing Solar-Powered Unmanned Aerial Vehicle Based on Hierarchical Reinforcement Learning by Tichao Xu, Wenyue Meng, Jian Zhang

“…Trajectory planning is crucial for solar aircraft endurance. …”
Get full text

Modeling of the Dark Phase of Flight and the Impact Area for Meteorites of Real Shapes by Karol Havrila, Juraj Tóth, Leonard Kornoš

“…Simulation showed significant differences in trajectory and the impact area for the different real body orientations compared to the spherically symmetric body. …”
Get full text

Advanced multi-objective trajectory planning for robotic arms using a multi-strategy enhanced NSGA-II algorithm. by Yanqin Fan, Yinan Peng, Jianlin Liu

“…Firstly, the artificial potential field method is used to plan the shortest path without collision, extract the key motion sequences, and establish the multi-objective function to improve the operating efficiency of the robotic arm, the smoothness of the motion trajectory, and the reduction of energy consumption. …”
Get full text

Real-time Detection and Tracking for Operating Vehicles in Complex Mining Environments by KANG Gaoqiang, LIN Jun, LIU Shiwang, YUE Wei, XIONG Qunfang, TONG Hao

“…On this basis, the features of multi-category work vehicle targets are used as similarity metric, combined with Mahalanobis distance metric and cosine metric that characterize motion information for cascading matching, and IoU matching and Kalman filtering are connected in series to confirm the trajectory and the real-time tracking of multiple work vehicles. …”
Get full text

Bio-inspired mid-infrared neuromorphic transistors for dynamic trajectory perception using PdSe2/pentacene heterostructure by Huaiyu Gao, Xiaoyong Jiang, Xinyu Ma, Minrui Ye, Jie Yang, Junyao Zhang, Yangchen Gao, Tangxin Li, Hailu Wang, Jian Mei, Xiao Fu, Xu Liu, Tongrui Sun, Ziyi Guo, Pu Guo, Fansheng Chen, Kai Zhang, Jinshui Miao, Weida Hu, Jia Huang

“…The device exhibits biological synaptic behavior in the MIR region (up to 4.25 μm) based on the persistent photoconductivity (PPC) effect, successfully realizing the function of dynamic trajectories memorization with real-time hardware implementation. …”
Get full text

Covert Attention Tracking: Towards Two-Dimensional Real-Time Recordings by Regina Gregori Grgic, Claudio de'Sperati

“…Thus, it seems that trustworthy real-time two-dimensional attention tracking, with both physical and imagined target motion, is not a too far goal.…”
Get full text