Shuo Yang

According to our database, Shuo Yang authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S).

Yuxin Zhao, Xinjun Mao, Sun Bo, Tanghaoran Zhang, Shuo Yang

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

2022

Towards a Hybrid-ASP Planning Approach With Adjoint Observation for Incomplete Task-Relevant Information.

Shuo Yang, Xinjun Mao, Yuanzhou Xue, Huaiyu Xiao, Shuo Wang

IEEE Robotics Autom. Lett., 2022

Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development.

Shuo Yang, Xinjun Mao, Yao Lu, Yong Xu

Autom. Softw. Eng., 2022

Towards An Efficient Searching Approach of ROS Message by Knowledge Graph.

Sun Bo, Xinjun Mao, Shuo Yang, Long Chen

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021

A Hybrid Planning Approach for Accompanying Information-gathering in Plan Execution Monitoring.

Shuo Yang, Xinjun Mao, Qiuzhen Wang, Yuhong Huang

J. Intell. Robotic Syst., 2021

Extending Behavior Trees for Representing and Planning Robot Adjoint Actions in Partially Observable Environments.

Shuo Yang, Xinjun Mao, Shuo Wang, Yantao Bai

J. Intell. Robotic Syst., 2021

An Efficient ROS Package Searching Approach Powered By Knowledge Graph.

Long Chen, Xinjun Mao, Yinyuan Zhang, Shuo Yang, Shuo Wang

Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

Towards Adjoint Sensing and Acting Schemes and Interleaving Task Planning for Robust Robot Plan.

Shuo Yang, Xinjun Mao, Shuo Wang, Huaiyu Xiao, Yuanzhou Xue

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Towards an Extended POMDP Planning Approach with Adjoint Action Model for Robotic Task.

Shuo Yang, Xinjun Mao, Wanwei Liu

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model.

Yuhong Huang, Xinjun Mao, Wanwei Liu, Shuo Yang, Shuo Wang

IEEE Access, 2019

2018

<i>AutoRobot</i>: A Multi-Agent Software Framework for Autonomous Robots.

Zhe Liu, Xinjun Mao, Shuo Yang

IEICE Trans. Inf. Syst., 2018

Accompanying Observation Modes and Software Architecture for Autonomous Robot Software.

Zhe Liu, Xinjun Mao, Shuo Yang

Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, 2018

2017

The Accompanying Behavior Model and Implementation Architecture of Autonomous Robot Software.

Shuo Yang, Xinjun Mao, Zhe Liu, Sen Yang, Jiangtao Xue, Zixi Xu

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

A Dual-Loop Control Model and Software Framework for Autonomous Robot Software.

Zhe Liu, Xinjun Mao, Shuo Yang

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016

Combining re-allocating and re-scheduling for dynamic multi-robot task allocation.

Yin Chen, Xinjun Mao, Fu Hou, QiuZhen Wang, Shuo Yang

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Multi-agent Organization Approach for Developing Social-Technical Software of Autonomous Robots.

Sen Yang, Xinjun Mao, Yin Chen, Shuo Yang

Proceedings of the Social Computing, 2016

2015

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).

Changhai Tian, Shuo Yang, Yin Chen, Xinjun Mao

计算机科学, 2015

The Roadmap and Challenges of Robot Programming Languages.

Shuo Yang, Xinjun Mao, Binbin Ge, Sen Yang

Proceedings of the 2015 IEEE International Conference on Systems, 2015