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• OAI收割 [136]

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浏览/检索结果: 共136条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Energy Efficient Swimming: Exploring an Intermittent Swimming Gait for Robotic Fish via Deep Reinforcement Learning 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2025, 页码: 12 作者:  Cao, Qiyuan;  Wang, Rui;  Huang S(黄顺);  Zhang, Tiandong;  Yin B(银波)   |  收藏  |  浏览/下载：9/0  |  提交时间：2025/09/15 Fish  Sports  Robots  Energy efficiency  Biological system modeling  Robot kinematics  Force  Deep reinforcement learning  Robot sensing systems  Computational fluid dynamics  Biomimetic robot  computational fluid dynamics (CFD)  deep reinforcement learning (DRL)   Design and development of automatic pipe cutting and welding robot for fusion reactor 期刊论文  OAI收割 FUSION ENGINEERING AND DESIGN, 2024, 卷号: 205 作者:  Zheng, Lei;  Ji, Aihong;  Cheng, Yong;  Qin, Guodong;  Zhang, Wanjin   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/11/22 Fusion reactor  Cutting and welding robot  Laser system  Hierarchical control system  Special environment application   D-PBS: Dueling Priority-Based Search for Multiple Nonholonomic Robots Motion Planning in Congested Environments 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 7, 页码: 6288-6295 作者:  Zhang, Xiaotong;  Xiong, Gang;  Wang, Yuanjing;  Teng, Siyu;  Chen, Long   |  收藏  |  浏览/下载：49/0  |  提交时间：2024/07/04 Multi-robot system  motion planning  nonholonomic robot   A Graph Robot Network for Force Observer of Teleoperation Systems 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 页码: 11 作者:  Pan, Ming-Zhang;  Li, Jing-Ao;  Li, Zhen;  Liang, Kun;  Su, Tie-Cheng   |  收藏  |  浏览/下载：59/0  |  提交时间：2024/07/22 Deep learning  force observer  master-slave robot  teleoperation system   A Local Obstacle Avoidance and Global Planning Method for the Follow-the-Leader Motion of Coiled Hyper-Redundant Manipulators 期刊论文  OAI收割 IEEE Transactions on Industrial Informatics, 2024, 卷号: 20, 期号: 4, 页码: 6591 - 6602 作者:  Mingrui, Luo;  Yunong, Tian;  En, Li;  Minghao, Chen;  Min, Tan   |  收藏  |  浏览/下载：50/0  |  提交时间：2024/05/31 Cable-driven redundant manipulators  intelligent robot system  obstacle avoidance  path planning   Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610 作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min   |  收藏  |  浏览/下载：49/0  |  提交时间：2024/03/27 Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot   Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes 期刊论文  OAI收割 INFORMATION TECHNOLOGY AND CONTROL, 2024, 卷号: 53, 期号: 1, 页码: 5-18 作者:  Wu, Liangdong;  Wu, Jiaxi;  Li, Zhengwei;  Chen, Yurou;  Liu, Zhiyong   |  收藏  |  浏览/下载：46/0  |  提交时间：2024/09/09 Deep Learning in Manipulation  Reinforcement Learning  Robot Control  Intelligent system  sliding policy   A New Generation of Rules-based Approach: Mivar-based Intelligent Planning of Robot Actions (MIPRA) and Brains for Autonomous Robots 期刊论文  OAI收割 Machine Intelligence Research, 2024, 卷号: 21, 期号: 5, 页码: 919-940 作者:  Oleg Varlamov;  Dmitry Aladin   |  收藏  |  浏览/下载：36/0  |  提交时间：2024/09/12 Autonomous robot  blocks world  decision-making system  expert systems  intelligent planning   Adaptive neuromuscular control of a simplified muscle tendon-driven musculoskeletal system 期刊论文  OAI收割 ROBOTIC INTELLIGENCE AND AUTOMATION, 2023, 页码: 13 作者:  Fan, Yerui;  Wu, Yaxiong;  Yuan, Jianbo   |  收藏  |  浏览/下载：59/0  |  提交时间：2023/11/15 Musculoskeletal system  Adaptive neuromuscular control  Tendon-driven robot  Disturbance observer   CASOG: Conservative Actor–Critic With SmOoth Gradient for Skill Learning in Robot-Assisted Intervention 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 页码: 10 作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Feng, Zhen-Qiu   |  收藏  |  浏览/下载：45/0  |  提交时间：2024/02/22 Deep neural network  offline reinforcement learning  robot-assisted intervention  vascular robotic system