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• OAI收割 [298]

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浏览/检索结果: 共298条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 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：5/0  |  提交时间：2024/03/27 Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot   Autonomous Recovery Control of Biomimetic Robotic Fish Based on Multi-Sensory System 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 卷号: 9, 期号: 2, 页码: 1420-1427 作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/03/26 Robots  Wires  Tail  Robot sensing systems  Task analysis  Springs  Sensors  Autonomous recovery  motion control  robotic fish  underwater perception   Autogeneration of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator 期刊论文  OAI收割 IEEE TRANSACTIONS ON ROBOTICS, 2024, 卷号: 40, 页码: 903-918 作者:  Pan, Jie;  Li, Dongyue;  Wang, Jian;  Zhang, Pengfei;  Shao, Jinyan   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/02/21 Bayesian optimization (BO)  control-oriented model identification  Koopman operator  robot control   Adaptive Trajectory Tracking Control for Nonholonomic Wheeled Mobile Robots: A Barrier Function Sliding Mode Approach 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1007-1021 作者:  Yunjun Zheng;  Jinchuan Zheng;  Ke Shao;  Han Zhao;  Hao Xie   |  收藏  |  浏览/下载：1/0  |  提交时间：2024/03/18 Adaptive sliding mode  barrier function  nonholonomic wheeled mobile robot (NWMR)  trajectory tracking control   Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1227-1238 作者:  Qinchen Yang;  Fukai Zhang;  Cong Wang   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/04/10 Adaptive neural control (ANC)  deterministic learning (DL)  neural network (NN)  robot manipulators   Tight-Space Maneuvering of a Hybrid-Driven Robotic Fish Using Backstepping-Based Adaptive Control 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 13 作者:  Li, Sijie;  Wu, Zhengxing;  Dai, Shijie;  Wang, Jian;  Tan, Min   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/22 Robots  Propellers  Robot kinematics  Robot sensing systems  Propulsion  Mechatronics  Hydrodynamics  3-D path following  backstepping-based adaptive control  depth control  hybrid drive  robotic fish   Multiagent-Reinforcement-Learning-Based Stable Path Tracking Control for a Bionic Robotic Fish With Reaction Wheel 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 12, 页码: 12670-12679 作者:  Qiu, Changlin;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/11/17 Multiagent reinforcement learning (MARL)  path tracking control  reaction wheel  robotic fish  underwater robot   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：9/0  |  提交时间：2023/11/15 Musculoskeletal system  Adaptive neuromuscular control  Tendon-driven robot  Disturbance observer   Research on the Dynamic Control Method of CFETR Multi-Purpose Overload Robot 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2023, 卷号: 13 作者:  Zuo, Congju;  Qin, Guodong;  Pan, Hongtao;  Xia, Liang;  Wang, Feng   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/10 CFETR  multi-purpose overload robot  sliding mode controller  error compensation  rigid-flexible control   A Cerebellum-Inspired Prediction and Correction Model for Motion Control of a Musculoskeletal Robot 期刊论文  OAI收割 IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 3, 页码: 1209-1223 作者:  Zhang, Jinhan;  Chen, Jiahao;  Wu, Wei;  Qiao, Hong   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/12/21 Biologically inspired control  cerebellum-inspired model  motion generation  motion learning  musculoskeletal robot  reinforcement learning