随着人工智能、机器人技术和智能控制理论的快速发展,现代科技正在不断突破认知的边界,为各个领域注入创新活力。本期文章合集汇总了Intelligence & Robotics(IR)期刊2024年的十篇精选研究成果,涵盖从无人机集群控制到医学数据建模、从深度学习应用到多智能体协作的广泛主题。这些研究为未来技术的创新与跨领域应用提供了全新思路和参考。所有文章均为开放获取,欢迎各位专家学者免费阅读、下载、转发和分享!
文章导读
引用本文:Ye, C.; Che, K.; Yao, Y.; Ma, N.; Zhang, R.; Xu, Y.; Wang, J.; Meng, M. Q. H. A deep learning-based system for accurate detection of anatomical landmarks in colon environment. Intell. Robot. 2024, 4, 164-78.
引用本文:Berger, C.; Doherty, P.; Rudol, P.; Wzorek, M. Leveraging active queries in collaborative robotic mission planning. Intell. Robot. 2024, 4, 87-106.
引用本文:Zhang, D.; Xue, X.; Gao, P.; Jin, Z.; Hu, M.; Wu, Y.; Ying, X. A survey of datasets in medicine for large language models. Intell. Robot. 2024, 4, 457-78.
引用本文:Peng, Y.; Yan, H.; Rao, K.; Yang, P.; Lv, Y. Distributed model predictive control for unmanned aerial vehicles and vehicle platoon systems: a review. Intell. Robot. 2024, 4, 293-317.
引用本文:Xin, J.; Tao, G.; Tang, Q.; Zou, F.; Xiang, C. Structural damage identification method based on Swin Transformer and continuous wavelet transform. Intell. Robot. 2024, 4, 200-15.
引用本文:Chen, X.; Wang, Y.; Chen, C.; Leng, Y.; Fu, C. Towards environment perception for walking-aid robots: an improved staircase shape feature extraction method. Intell. Robot. 2024, 4, 179-95.
引用本文:Zhang, J.; Liu, X.; Wang, X.; Wang, Y.; Wang, Y. Adaptive prescribed performance tracking control for underactuated unmanned surface ships with input quantization. Intell. Robot. 2024, 4, 146-63.
引用本文:Guan, J.; Cheng, H. Metropolis criterion pigeon-inspired optimization for multi-UAV swarm controller. Intell. Robot. 2024, 4, 61-73.
引用本文:Su, M.; Pu, R.; Wang, Y.; Yu, M. A collaborative siege method of multiple unmanned vehicles based on reinforcement learning. Intell. Robot. 2024, 4, 39-60.
引用本文:Han, H.; Xue, X.; Li, Q.; Gao, H.; Wang, R.; Jiang, R.; Ren, Z.; Meng, R.; Li, M.; Guo, Y.; Liu, Y.; Ma, W. Pig-ear detection from the thermal infrared image based on improved YOLOv8n. Intell. Robot. 2024, 4, 20-38.
关于期刊
刊文范围包括但不限于:
生物智能、生物启发智能和人工智能; 具身智能; 神经网络、模糊系统和进化算法; 移动、空中和水下机器人系统的传感、多传感器融合、定位、数据分析、建模、规划和控制; 机器人协作、远程操作和人机交互; 机器人和智能的计算机视觉; 人形机器人系统和智能机器人系统; 机器人和智能的自然语言处理; 机器人和智能的数字孪生和虚拟现实; 机器人系统的具身认知、导航和操控。
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