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科研机构
自动化研究所 [126]
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期刊论文 [60]
学位论文 [42]
会议论文 [24]
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2023 [11]
2022 [5]
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2020 [15]
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Feature selection-based decision model for UAV path planning on rough terrains
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 232, 页码: 12
作者:
Ali, Hub
;
Xiong, Gang
;
Haider, Muhammad Husnain
;
Tamir, Tariku Sinshaw
;
Dong, Xisong
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Path planning
Obstacle avoidance
Unmanned Aerial Vehicle (UAV)
Motion planning
A Novel Spatial Position Prediction Navigation System Makes Surgery More Accurate
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 12, 页码: 3614-3624
作者:
Zhang, Lin-Sen
;
Liu, Shi-Qi
;
Xie, Xiao-Liang
;
Zhou, Xiao-Hu
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Vascular interventional surgery
3D prediction guide
autonomous operation
path-planning
weighted probability error ellipsoid
CSIR: Cascaded Sliding CVAEs With Iterative Socially-Aware Rethinking for Trajectory Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 13
作者:
Zhou, Hao
;
Yang, Xu
;
Ren, Dongchun
;
Huang, Hai
;
Fan, Mingyu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Cascaded prediction
sliding sequence prediction
iterative social-aware rethinking
trajectory prediction
Four-Criterion-Optimization-Based Coordination Motion Control of Dual-Arm Robots
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2023, 卷号: 15, 期号: 2, 页码: 794-807
作者:
Tong, Yuchuang
;
Liu, Jinguo
;
Zhang, Xin
;
Ju, Zhaojie
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/22
Coordination motion control
dual-arm robot
motion planning
recurrent neural network (RNN)
redundant manipulator
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3692-3711
作者:
Teng, Siyu
;
Hu, Xuemin
;
Deng, Peng
;
Li, Bai
;
Li, Yuchen
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Motion planning
pipeline planning
end-to-end planning
imitation learning
reinforcement learning
parallel learning
Human-robot shared control system based on 3D point cloud and teleoperation
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 页码: 9
作者:
Yang, ChenGuang
;
Zhang, Ying
;
Zhao, GuanYi
;
Cheng, Long
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/22
teleoperation
3D point cloud
human-robot shared control
hybrid force
motion control
Safety-Balanced Driving-Style Aware Trajectory Planning in Intersection Scenarios With Uncertain Environment
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2888-2898
作者:
Wang, Xiao
;
Tang, Ke
;
Dai, Xingyuan
;
Xu, Jintao
;
Xi, Jinhao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Trajectory
Planning
Trajectory planning
Safety
Predictive models
Training
Data models
Autonomous vehicles
trajectory planning
social interactions
uncertain circumstances
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:
Lu, Jingwei
;
Han, Liyuan
;
Wei, Qinglai
;
Wang, Xiao
;
Dai, Xingyuan
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Autonomous vehicles
Decision making
Path planning
Training
Optimal control
Deep learning
Complex systems
Autonomous driving
deep reinforcement learning
deep Q-network
event-triggered control
parallel control
MPC-based Motion Planning and Control Enables Smarter and Safer Autonomous Marine Vehicles: Perspectives and a Tutorial Survey
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 8-24
作者:
Henglai Wei
;
Yang Shi
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/01/03
Autonomous marine vehicles (AMVs)
model predictive control (MPC)
motion control
motion planning
Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 1, 页码: 673-683
作者:
Teng, Siyu
;
Chen, Long
;
Ai, Yunfeng
;
Zhou, Yuanye
;
Xuanyuan, Zhe
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2023/11/16
Semantics
Data models
Autonomous vehicles
Cameras
Reinforcement learning
Predictive models
Robustness
Autonomous driving
imitation learning
motion planning
end-to-End driving
interpretability
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