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浏览/检索结果:
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发表日期:2021
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FOV Constraint Region Analysis and Path Planning for Mobile Robot with Observability to Multiple Feature Points
期刊论文
International Journal of Control, Automation and Systems, 2021, 卷号: 19, 期号: 11, 页码: 3785-3800
作者:
Hongxuan Ma
;
Wei Zou
;
Siyang Sun
;
Zheng Zhu
;
Zhaobing Kang
Adobe PDF(6468Kb)
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浏览/下载:40/13
  |  
提交时间:2024/06/06
mobile robot
multiple points
path planning
the field-of-view
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)
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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
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)
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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)
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浏览/下载:293/108
  |  
提交时间:2022/06/14
SOZIL: Self-Optimal Zero-shot Imitation Learning
期刊论文
IEEE Trans on Cognitive and Developmental System, 2021, 卷号: 15, 期号: 1, 页码: 1
作者:
Peng Hao
;
Tao Lu
;
Shaowei Cui
;
Junhang Wei
;
Yinghao Cai
;
Shuo Wang
Adobe PDF(13840Kb)
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浏览/下载:181/32
  |  
提交时间:2022/04/08
imitation learning
learning from observation
keyframe demonstration
Aspiration dynamics generate robust predictions in heterogeneous populations
期刊论文
Nature Communications, 2021, 期号: 12, 页码: 3250
作者:
Zhou L(周雷)
;
Wu B
;
Du J
;
Wang L
Adobe PDF(939Kb)
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浏览/下载:185/61
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提交时间:2022/04/06
Complex networks, game, aspiration, evolutionary dynamics
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 6, 页码: 2358-2372
作者:
Zezhi Sui
;
Zhiqiang Pu
;
Jianqiang Yi
;
Shiguang Wu
Adobe PDF(5344Kb)
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浏览/下载:262/85
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提交时间:2022/04/02
Collision avoidance
deep reinforcement learning (DRL)
formation control
leader–follower
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
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:
Wang, Ding
;
Ha, Mingming
;
Cheng, Long
收藏
  |  
浏览/下载:284/0
  |  
提交时间:2022/01/27
Trajectory
Heuristic algorithms
Convergence
Trajectory tracking
Stability criteria
Optimal control
Dynamic programming
Adaptive critic design
discrete-time nonlinear plants
neuro-optimal trajectory tracking
uniformly ultimately bounded stability
value iteration
Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:
Lu, Jingwei
;
Wei, Qinglai
;
Liu, Yujia
;
Zhou, Tianmin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:242/0
  |  
提交时间:2022/01/27
Nonlinear systems
Trajectory
Optimal control
Control systems
Mathematical model
Steady-state
Dynamic programming
Adaptive dynamic programming (ADP)
event-triggered
neural network (NN)
nonlinear optimal control
parallel control
parallel system
tracking control