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Bird's-Eye-View Semantic Segmentation With Two-Stream Compact Depth Transformation and Feature Rectification 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 11, 页码: 4546-4558
作者:  Liu, Jierui;  Cao, Zhiqiang;  Yang, Jing;  Liu, Xilong;  Yang, Yuequan;  Qu, Zhiyou
Adobe PDF(21890Kb)  |  收藏  |  浏览/下载：80/12  |  提交时间：2024/03/27
Bird's-eye-view  semantic segmentation  two-stream compact depth transformation  feature rectification  
CASOG: Conservative Actor–Critic With SmOoth Gradient for Skill Learning in Robot-Assisted Intervention 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 页码: 10
作者:  Li, Hao;  Zhou, Xiao-Hu;  Xie, Xiao-Liang;  Liu, Shi-Qi;  Feng, Zhen-Qiu;  Hou, Zeng-Guang
收藏  |  浏览/下载：89/0  |  提交时间：2024/02/22
Deep neural network  offline reinforcement learning  robot-assisted intervention  vascular robotic system  
Tight-Space Maneuvering of a Hybrid-Driven Robotic Fish Using Backstepping-Based Adaptive Control 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 13
作者:  Li, Sijie;  Wu, Zhengxing;  Dai, Shijie;  Wang, Jian;  Tan, Min;  Yu, Junzhi
收藏  |  浏览/下载：100/0  |  提交时间：2024/02/22
Robots  Propellers  Robot kinematics  Robot sensing systems  Propulsion  Mechatronics  Hydrodynamics  3-D path following  backstepping-based adaptive control  depth control  hybrid drive  robotic fish  
A Wire-Driven Dual Elastic Fishtail With Energy Storing and Passive Flexibility 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Liao, Xiaocun;  Zhou, Chao;  Wang, Jian;  Tan, Min
Adobe PDF(5255Kb)  |  收藏  |  浏览/下载：211/21  |  提交时间：2023/12/21
Robotic fish  Energy storing  Stiffness optimization  Wire-driven mode  Passive flexibility  
A neural network based framework for variable impedance skills learning from demonstrations 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 卷号: 160, 页码: 10
作者:  Zhang, Yu;  Cheng, Long;  Cao, Ran;  Li, Houcheng;  Yang, Chenguang
Adobe PDF(3824Kb)  |  收藏  |  浏览/下载：401/71  |  提交时间：2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction