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Shuo Yang 0005
Person information
- affiliation: National University of Defense Technology, College of Computer, Changsha, China
Other persons with the same name
- Shuo Yang — disambiguation page
- Shuo Yang 0001
— Shanghai Jiao Tong University, Shanghai, China
- Shuo Yang 0002
— Institute of Software, Chinese Academy of Sciences, Beijing, China
- Shuo Yang 0003
— Amazon Rekognition (and 1 more)
- Shuo Yang 0004
— LinkedIn Corp. (and 1 more)
- Shuo Yang 0006
— Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Shuo Yang 0007
— University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA (and 1 more)
- Shuo Yang 0008
— Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
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2020 – today
- 2024
- [c12]Zhiqun Xiao, Shuo Yang, Yuanzhou Xue, Shuo Wang, Xinjun Mao:
OCP: An Online Contingent Planning Method for Robot Tasks with Incomplete Knowledge. ICIC (LNAI 5) 2024: 39-50 - 2023
- [c11]Yuxin Zhao, Xinjun Mao, Sun Bo, Tanghaoran Zhang, Shuo Yang:
An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S). SEKE 2023: 329-332 - [i1]Shuo Wang, Xinjun Mao, Shuo Yang, Menghan Wu, Zhang Zhang:
ROS package search for robot software development: a knowledge graph-based approach. CoRR abs/2312.14781 (2023) - 2022
- [j7]Shuo Yang
, Xinjun Mao, Yao Lu, Yong Xu:
Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development. Autom. Softw. Eng. 29(1): 31 (2022) - [j6]Shuo Yang, Xinjun Mao, Yuanzhou Xue, Huaiyu Xiao, Shuo Wang:
Towards a Hybrid-ASP Planning Approach With Adjoint Observation for Incomplete Task-Relevant Information. IEEE Robotics Autom. Lett. 7(1): 494-501 (2022) - [c10]Sun Bo, Xinjun Mao, Shuo Yang, Long Chen:
Towards An Efficient Searching Approach of ROS Message by Knowledge Graph. COMPSAC 2022: 934-943 - 2021
- [j5]Shuo Yang, Xinjun Mao, Shuo Wang, Yantao Bai:
Extending Behavior Trees for Representing and Planning Robot Adjoint Actions in Partially Observable Environments. J. Intell. Robotic Syst. 102(2): 36 (2021) - [j4]Shuo Yang
, Xinjun Mao, Qiuzhen Wang, Yuhong Huang:
A Hybrid Planning Approach for Accompanying Information-gathering in Plan Execution Monitoring. J. Intell. Robotic Syst. 103(1): 19 (2021) - [c9]Shuo Yang, Xinjun Mao, Shuo Wang, Huaiyu Xiao, Yuanzhou Xue:
Towards Adjoint Sensing and Acting Schemes and Interleaving Task Planning for Robust Robot Plan. ICRA 2021: 13791-13797 - [c8]Long Chen, Xinjun Mao, Yinyuan Zhang, Shuo Yang, Shuo Wang:
An Efficient ROS Package Searching Approach Powered By Knowledge Graph. SEKE 2021: 411-416 - 2020
- [c7]Shuo Yang, Xinjun Mao, Wanwei Liu:
Towards an Extended POMDP Planning Approach with Adjoint Action Model for Robotic Task. SMC 2020: 1412-1419
2010 – 2019
- 2019
- [j3]Yuhong Huang
, Xinjun Mao, Wanwei Liu, Shuo Yang, Shuo Wang:
Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model. IEEE Access 7: 127987-127998 (2019) - 2018
- [j2]Zhe Liu, Xinjun Mao, Shuo Yang:
AutoRobot: A Multi-Agent Software Framework for Autonomous Robots. IEICE Trans. Inf. Syst. 101-D(7): 1880-1893 (2018) - [c6]Zhe Liu, Xinjun Mao, Shuo Yang:
Accompanying Observation Modes and Software Architecture for Autonomous Robot Software. SEKE 2018: 209-208 - 2017
- [c5]Shuo Yang, Xinjun Mao, Zhe Liu, Sen Yang, Jiangtao Xue, Zixi Xu:
The Accompanying Behavior Model and Implementation Architecture of Autonomous Robot Software. APSEC 2017: 209-218 - [c4]Zhe Liu, Xinjun Mao, Shuo Yang:
A Dual-Loop Control Model and Software Framework for Autonomous Robot Software. APSEC 2017: 229-238 - 2016
- [c3]Sen Yang, Xinjun Mao, Yin Chen, Shuo Yang:
A Multi-agent Organization Approach for Developing Social-Technical Software of Autonomous Robots. ICYCSEE (1) 2016: 24-38 - [c2]Yin Chen, Xinjun Mao, Fu Hou, QiuZhen Wang, Shuo Yang:
Combining re-allocating and re-scheduling for dynamic multi-robot task allocation. SMC 2016: 395-400 - 2015
- [j1]Changhai Tian, Shuo Yang, Yin Chen, Xinjun Mao:
RPL: 一种基于反应式Agent的机器人编程语言 (RPL: A Robot Programming Language Based on Reactive Agent). 计算机科学 42(3): 13-18 (2015) - [c1]Shuo Yang, Xinjun Mao, Binbin Ge, Sen Yang:
The Roadmap and Challenges of Robot Programming Languages. SMC 2015: 328-333
Coauthor Index
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last updated on 2024-08-18 23:09 CEST by the dblp team
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