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Optimal grasp force for robotic grasping and in-hand manipulation with impedance control 期刊论文
Assembly Automation, 2021, 卷号: 41, 期号: 2, 页码: 208-220
作者:  Li XQ(李小青);  Chen ZY(陈紫渝);  Ma C(马超)
Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：47/15  |  提交时间：2024/06/04
Impedance control  In-hand manipulation  Grasp force control  Grasp quality optimization  Robotic grasping  Index terms grasp force control  
Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载：41/13  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Efficient and Accurate Start Point Guiding and Seam Tracking Method for Curve Weld Based on Structure Light 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 0, 页码: 3001310
作者:  Yunkai Ma;  Junfeng Fan;  Sai Deng;  Yu Luo;  Xihong Ma;  Fengshui Jing;  Min Tan
Adobe PDF(3660Kb)  |  收藏  |  浏览/下载：147/37  |  提交时间：2023/10/08
A Model of Spray Tool and a Parameter Optimization Method for Spraying Path Planning 期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 1017-1031
作者:  Ruxiang Hua;  Wei Zou;   Guodong Chen;  Hongxuan Ma;  Wei Zhang
Adobe PDF(3022Kb)  |  收藏  |  浏览/下载：182/54  |  提交时间：2023/07/04
Digital camouflage  spraying robot  path optimization  parameter setting  coating thickness uniformity  
A robotic grasping approach with elliptical cone-based potential fields under disturbed scenes 期刊论文
International Journal of Advanced Robotic Systems, 2021, 卷号: 1, 期号: 18, 页码: 1-11
作者:  Wenjie Geng;  Zhiqiang Cao;  Zhonghui Li;  Yingying Yu;  Fengshui Jing;  Junzhi Yu
Adobe PDF(15762Kb)  |  收藏  |  浏览/下载：123/36  |  提交时间：2023/06/29
Robotic grasping, elliptical cone, potential field, disturbed scene  
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：293/108  |  提交时间：2022/06/14
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 9
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Duan, Peiyong;  Zong, Guangdeng
收藏  |  浏览/下载：231/0  |  提交时间：2022/01/27
Nonlinear systems  Artificial neural networks  Design methodology  Adaptive control  Time-varying systems  Fuzzy logic  Backstepping  Asymptotic tracking control  neural networks (NN)  nonlinear mapping (NM)  nonstrict feedback structure  time-varying full-state constraints  uncertain nonlinear system  
A Cable-Driven Hyperredundant Manipulator: Obstacle-Avoidance Path Planning and Tension Optimization 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2021, 页码: 20
作者:  Xu, Dawei;  li, En;  Guo, Rui;  Liu, Jiaxin;  Liang, Zize
收藏  |  浏览/下载：205/0  |  提交时间：2022/01/27
Manipulators  Trajectory  Collision avoidance  Robots  Optimization  Kinematics  Propulsion  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：297/52  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
Learning to Assemble Noncylindrical Parts Using Trajectory Learning and Force Tracking 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 页码: 12
作者:  Su, Jianhua;  Meng, Yan;  Wang, Lili;  Yang, Xu
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：366/63  |  提交时间：2022/01/27
Force  Trajectory  Robots  Task analysis  Hidden Markov models  Impedance  Training  Assembly skill  impedance control  learning from demonstration  movement primitives (MPs)