机构

• 自动化研究所 [67]

采集方式

• OAI收割 [67]

内容类型

• 学位论文 [36]
• 期刊论文 [26]
• 会议论文 [5]

发表日期

• 2023 [2]
• 2022 [2]
• 2021 [4]
• 2020 [3]
• 2019 [4]
• 2018 [3]
• 更多

学科主题

筛选

浏览/检索结果: 共67条，第1-10条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 A Parallel Supervision System for Vehicle CO2 Emissions Based on OBD-Independent Information 期刊论文  OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2077-2087 作者:  Sun, Yao;  Hu, Yunfeng;  Zhang, Hui;  Wang, Feiyue;  Chen, Hong   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/11/17 Combined CO2 estimation model  deterioration factor  OBD-independent  parallel supervision system  vehicle CO2 emissions   Magnetic Field-Based Reward Shaping for Goal-Conditioned Reinforcement Learning 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 12, 页码: 2233-2247 作者:  Hongyu Ding;  Yuanze Tang;  Qing Wu;  Bo Wang;  Chunlin Chen   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/10/31 Dynamic environments  goal-conditioned reinforcement learning  magnetic field  reward shaping   Parallel Vision for Intelligent Transportation Systems in Metaverse: Challenges, Solutions, and Potential Applications 期刊论文  OAI收割 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 14 作者:  Zhang, Hui;  Luo, Guiyang;  Li, Yidong;  Wang, Fei-Yue   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/02/22 Intelligent transportation system (ITS)  metaverse  parallel vision   Autonomous path planning for robot-assisted pelvic fracture closed reduction with collision avoidance 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2022, 页码: 12 作者:  Pan, Mingzhang;  Chen, Yuan;  Li, Zhen;  Liao, Xiaolan;  Deng, Yawen   |  收藏  |  浏览/下载：31/0  |  提交时间：2023/01/10 A* algorithm  collision detection  path planning  pelvic closed reduction   HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14 作者:  Yang, Linyao;  Wang, Xiao;  Dai, Yuxin;  Xin, Kejun;  Zheng, Xiaolong   |  收藏  |  浏览/下载：32/0  |  提交时间：2021/12/28 Knowledge fusion  Knowledge reasoning  Decision-making  Hierarchical graph attention  Reinforcement learning   Parallel crop planning based on price forecast 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22 作者:  Fan, Menghan;  Kang, Mengzhen;  Wang, Xiujuan;  Hua, Jing;  He, Chaoxing   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/12/28 agent-based modeling  crop planning  parallel agricultural management  price prediction   Unsupervised Domain Adaptation with Background Shift Mitigating for Person Re-Identification 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 20 作者:  Huang, Yan;  Wu, Qiang;  Xu, Jingsong;  Zhong, Yi;  Zhang, Zhaoxiang   |  收藏  |  浏览/下载：61/0  |  提交时间：2021/08/15 Person re-identification  Unsupervised domain adaptation  Background suppression  Image generation  Virtual label estimation   Dust Distribution Study at the Blast Furnace Top Based on k-Sε-up Model 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 121-135 作者:  Zhipeng Chen;  Zhaohui Jiang   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/04/09 Blast furnace (BF)  dust movement  interphase interaction  modeling theory  turbulent flow  two-scale direct interaction approximation (TSDIA)   Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction 期刊论文  OAI收割 COGNITIVE COMPUTATION, 2020, 页码: 13 作者:  Zhang, Tielin;  Zeng, Yi;  Pan, Ruihan;  Shi, Mengting;  Lu, Enmeng   |  收藏  |  浏览/下载：19/0  |  提交时间：2020/08/21 Brain-inspired architecture  Procedural knowledge  Deep neural network  Reinforcement learning  Knowledge graph   Real-Sim-Real Transfer for Real-World Robot Control Policy Learning with Deep Reinforcement Learning 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2020, 卷号: 10, 期号: 5, 页码: 16 作者:  Liu, Naijun;  Cai, Yinghao;  Lu, Tao;  Wang, Rui;  Wang, Shuo   |  收藏  |  浏览/下载：10/0  |  提交时间：2020/06/02 robot  policy learning  reality gap  simulated environment  deep reinforcement learning