中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共6条，第1-6条 帮助

限定条件                        
已选(0)清除 条数/页：   排序方式：
Path Following and Collision Avoidance of a Ribbon-Fin Propelled Underwater Biomimetic Vehicle-Manipulator System 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 16, 页码: 15
作者:  He, Yanbing;  Dong, Xiang;  Wang, Yu;  Wang, Shuo
收藏  |  浏览/下载：155/0  |  提交时间：2023/11/17
underwater biomimetic vehicle-manipulator system  nonlinear model predictive control  extended state observers (ESOs)  collision avoidance  path following  
Stepwise Cooperative Trajectory Planning for Multiple BUVs Based on Temporal-Spatial Bezier Curves 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 14
作者:  Wang, Rui;  Jiang, Tianyu;  Bai, Ge;  Wang, Yu;  Wang, Shuo;  Tan, Min
收藏  |  浏览/下载：131/0  |  提交时间：2023/11/17
Trajectory planning  Trajectory  Planning  Vehicle dynamics  Robots  Underwater vehicles  Real-time systems  Bezier curve  biomimetic underwater vehicle (BUV)  cooperative trajectory planning  dynamic obstacle avoidance  
A Collision-Free Planning and Control Framework for a Biomimetic Underwater Vehicle in Dynamic Environments 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 卷号: 28, 期号: 3, 页码: 1415 - 1424
作者:  Lv, Jiaqi;  Wang, Yu;  Wang, Shuo;  Bai, Xuejian;  Wang, Rui;  Tan, Min
Adobe PDF(3810Kb)  |  收藏  |  浏览/下载：387/81  |  提交时间：2023/02/22
Arctangent nonsingularity terminal sliding mode (ANTSM) control  biomimetic underwater vehicle (BUV)  collision-free in dynamic environments  fuzzy artificial potential field (FAPF) planning  robots  
多仿生水下机器人协同轨迹规划 会议论文
无, 无, 2021-09
作者:  白舸;  王睿;  王宇;  张天栋;  王硕
Adobe PDF(3630Kb)  |  收藏  |  浏览/下载：268/70  |  提交时间：2022/07/08
轨迹规划  仿生水下机器人  贝塞尔曲线  多机器人协同  实时避障  
Fast Generation of Chance-Constrained Flight Trajectory for Unmanned Vehicles 期刊论文
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2021, 卷号: 57, 期号: 2, 页码: 1028-1045
作者:  Chai, Runqi;  Tsourdos, Antonios;  Al Savvaris;  Wang, Shuo;  Xia, Yuanqing;  Chai, Senchun
收藏  |  浏览/下载：185/0  |  提交时间：2021/06/07
Unmanned aerial vehicles  Probabilistic logic  Trajectory optimization  Mathematical model  Aerodynamics  Vehicle dynamics  Trajectory planning  Chance constrained  convex approximation  convex optimization  convexification  trajectory optimization  unmanned vehicle  
Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文
APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16
作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(6287Kb)  |  收藏  |  浏览/下载：274/68  |  提交时间：2020/06/02
robot  policy learning  reality gap  simulated environment  deep reinforcement learning