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S
Shanlin Zhong
chinese academy of sciences
3
H指数
11
论文数
22
被引数
0
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7
发表时间
发表时间
IF
被引数
BioSynGrasp: Bio-Inspired Structured Reinforcement Learning With Synergetic Exploration and Human Demonstration for Dexterous Grasping of Musculoskeletal Robot
BioSynGrasp:一种具有协同探索和人类示教的仿生结构化强化学习方法,用于肌骨机器人的灵巧抓取
IEEE Transactions on Automation Science and Engineering
IF
6.4
2026-03-09
0
PRE
AI
Siyuan Liu; Bo Jiang; Lijun Han; Shanlin Zhong; Ci Song; Huaping Liu; Jiahao Chen
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Manageable Convex Region Iteration Without Half-Plane Optimization for Robot Navigation in 2D Cluttered Scenes
可管理的凸区域迭代,无需半平面优化,用于2D杂乱场景中的机器人导航
IEEE Robotics and Automation Letters
IF
5.3
2026-02-27
0
PRE
AI
Yinsong Qu; Yunxiang Li; Yudong Guo; Weiyun Yi; Hanwen Cui; Yuezu Lv; Shanlin Zhong
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A Force-Position Hybrid Control for Full-Size Humanoid Robots Based on Adaptive Parameters
一种基于自适应参数的全尺寸人形机器人的力-位置混合控制方法
IEEE/ASME Transactions on Mechatronics
IF
0
2025-07-16
0
PRE
AI
Ziyu Chen; Shanlin Zhong; Jihe Bai; Chiyu Zhang; Hong Qiao
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Fall analysis and prediction for humanoids
人形机器人的跌倒分析与预测
ROBOTICS AND AUTONOMOUS SYSTEMS
IF
5.2
2025-06-11
0
PRE
AI
Zhang, Chiyu; Gao, Jie; Chen, Ziyu; Zhong, Shanlin; Qiao, Hong
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Corrigendum to “Fall analysis and prediction for humanoids” [Robot. Auton. Syst. 190 (2025) 104995]
勘误:“Fall analysis and prediction for humanoids” [Robot. Auton. Syst. 190 (2025) 104995]
Robotics and Autonomous Systems
IF
5.2
2025-06-04
0
PRE
AI
Chiyu Zhang; Jie Gao; Ziyu Chen; Shanlin Zhong; Hong Qiao
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Motion Learning and Generalization of Musculoskeletal Robot Using Gain Primitives
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
IF
6.4
2024-04-01
3
PRE
AI
Zhong, Shanlin; Wu, Wei
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Controlling Musculoskeletal System with Spinal Cord-Inspired Constraint Force Field Primitives
UNMANNED SYSTEMS
IF
2.4
2024-01-29
2
PRE
AI
Zhong, Shanlin; Wu, Yaxiong; Wu, Wei; Qiao, Hong
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研究方向
暂时未获取到该数据
合作学者
合作期刊
刘华坪
(Huaping Liu)
H 指数: 54 · 论文数: 780
H
Hong Qiao
H 指数: 46 · 论文数: 491
W
Wei Wu
H 指数: 30 · 论文数: 180
陈
陈嘉浩
(Jiahao Chen)
H 指数: 21 · 论文数: 117
J
Jie Gao
H 指数: 12 · 论文数: 56
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