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A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 卷号: 37, 期号: 1, 页码: 82-113
作者:  Zhang, Jinhan;  Chen, Jiahao;  Zhong, Shanlin;  Qiao, Hong
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/03
Basal ganglia and cerebellum  bio-inspired integration model  motion learning  muscu-loskeletal robot  reinforcement learning  
Autonomous ship navigation with an enhanced safety collision avoidance technique 期刊论文
ISA TRANSACTIONS, 2024, 卷号: 144, 页码: 271-281
作者:  Ali, Hub;  Xiong, Gang;  Tianci, Qu;  Kumar, Rajesh;  Dong, Xisong;  Shen, Zhen
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Motion planning  Obstacle avoidance  Autonomous marine vehicle  
Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-11
作者:  Zheng EH(郑恩昊);  Jiacheng Wan;  Nanxing Hu;  Qining Wang
Adobe PDF(2867Kb)  |  收藏  |  浏览/下载：42/20  |  提交时间：2024/06/25
Sensors  Robot sensing systems  Muscles  Wearable sensors  Shape  Force  Feature extraction  Fabric-based sensors  human motion recognition  muscle features  wearable sensing  
HIDE: Hierarchical iterative decoding enhancement for multi-view 3D human parameter regression 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 35, 页码: 3
作者:  Lin WT(林伟涛);  Zhang JG(张吉光);  Meng WL(孟维亮);  Liu XL(刘湘龙);  Zhang XP(张晓鹏)
Adobe PDF(11125Kb)  |  收藏  |  浏览/下载：39/9  |  提交时间：2024/06/11
3D human mesh recovery  body modeling  computer vision  deep learning  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：70/21  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载：71/17  |  提交时间：2024/06/04
Musculoskeletal system  Robots  Muscles  Reinforcement learning  Robustness  Learning systems  Recurrent neural networks  Musculoskeletal robots  recurrent neural network  muscle synergy  robustness  
Two-particle Debris Flow Simulation Based on SPH 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-17
作者:  Zhang JX(张佳岫);  Yang M(杨猛);  Xiaomin Li;  Qunou Jiang;  Heng Zhang;  Meng WL(孟维亮)
Adobe PDF(4962Kb)  |  收藏  |  浏览/下载：47/20  |  提交时间：2024/06/04
debris flow  GPU acceleration  natural disaster simulation  SPH  
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction 期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:  Li BW(李博文);  Li W(李巍);  Wang JQ(王镜淇);  Meng WL(孟维亮);  Zhang JG(张吉光);  Zhang XP(张晓鹏)
Adobe PDF(2914Kb)  |  收藏  |  浏览/下载：62/12  |  提交时间：2024/06/04
dense pedestrian  detection  multi-object tracking  proximity graph  visualization  
SlowFastFormer for 3D human pose estimation 期刊论文
Computer Vision and Image Understanding, 2024, 卷号: 243, 期号: 243, 页码: 103992
作者:  Zhou Lu;  Chen Yingying;  Wang Jinqiao
Adobe PDF(989Kb)  |  收藏  |  浏览/下载：67/26  |  提交时间：2024/06/03
SlowFastFormer  Transformer  Blending  3D human pose estimation  Hierarchical supervision  
Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis 期刊论文
IEEE Transactions on Affective Computing, 2023, 卷号: 15, 期号: 1, 页码: 1-17
作者:  Licai Sun;  Zheng Lian;  Bin Liu;  Jianhua Tao
Adobe PDF(2371Kb)  |  收藏  |  浏览/下载：79/23  |  提交时间：2024/05/31
Transformers  Robustness  Semantics  Data models  Computational modeling  Videos  Training  Multimodal sentiment analysis  unaligned and incomplete data  efficient multimodal Transformer  dual-level feature restoration  robustness