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Structure transforming for constructing constraint force field in musculoskeletal robot 期刊论文
ASSEMBLY AUTOMATION, 2021, 卷号: 42, 期号: 2, 页码: 169-180
作者:  Zhong, Shanlin;  Chen, Ziyu;  Zhou, Junjie
Adobe PDF(2152Kb)  |  收藏  |  浏览/下载：356/65  |  提交时间：2021/12/28
High precision  Attractive region in environment  Constraint force field  Musculoskeletal robot  
Adaptive-Neural-Network-Based Trajectory Tracking Control for a Nonholonomic Wheeled Mobile Robot With Velocity Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5057-5067
作者:  Chen, Ziyu;  Liu, Yang;  He, Wei;  Qiao, Hong;  Ji, Haibo
Adobe PDF(1673Kb)  |  收藏  |  浏览/下载：318/10  |  提交时间：2021/04/06
Mobile robots  Lyapunov methods  Adaptive systems  Artificial neural networks  Automation  Adaptive neural networks  barrier Lyapunov function (BLF)  velocity constraint  wheeled mobile robot (WMR)  
Lightweight Two-Stream Convolutional Neural Network for SAR Target Recognition 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 18, 期号: 0, 页码: 1-5
作者:  Huang, Xiayuan;  Yang, Qiao;  Qiao, Hong
浏览  |  Adobe PDF(736Kb)  |  收藏  |  浏览/下载：187/71  |  提交时间：2020/10/13
Lightweight  synthetic aperture radar (SAR) target recognition  two-stream convolutional neural network (CNN)  
A Survey of Methods and Strategies for High-Precision Robotic Grasping and Assembly Tasks-Some New Trends 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 6, 页码: 2718-2732
作者:  Li, Rui;  Qiao, Hong
收藏  |  浏览/下载：287/0  |  提交时间：2020/03/30
Robot sensing systems  Task analysis  Grasping  Robotic assembly  Visualization  Assembly  environmental constraint  grasping  robotic manipulation  sensing  
From Rough to Precise: Human-Inspired Phased Target Learning Framework for Redundant Musculoskeletal Systems 期刊论文
FRONTIERS IN NEUROROBOTICS, 2019, 卷号: 13, 期号: 61, 页码: 14
作者:  Zhou, Junjie;  Chen, Jiahao;  Deng, Hu;  Qiao, Hong
Adobe PDF(3654Kb)  |  收藏  |  浏览/下载：367/44  |  提交时间：2019/12/16
musculoskeletal system  human-inspired motion learning  noise in nervous system  reinforcement learning  phased target learning