The Roadmap and Challenges of Robot Programming Languages. - Shuo Yang 005; Xinjun Mao; Binbin Ge; Sen Yang (SMC, 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 005; Yin Chen 003; Xinjun Mao (计算机科学, 2015)

A Multi-agent Organization Approach for Developing Social-Technical Software of Autonomous Robots. - Sen Yang; Xinjun Mao; Yin Chen 003; Shuo Yang 005 (ICYCSEE (1), 2016)

Combining re-allocating and re-scheduling for dynamic multi-robot task allocation. - Yin Chen 003; Xinjun Mao; Fu Hou; QiuZhen Wang; Shuo Yang 005 (SMC, 2016)

A Dual-Loop Control Model and Software Framework for Autonomous Robot Software. - Zhe Liu; Xinjun Mao; Shuo Yang 005 (APSEC, 2017)

The Accompanying Behavior Model and Implementation Architecture of Autonomous Robot Software. - Shuo Yang 005; Xinjun Mao; Zhe Liu; Sen Yang; Jiangtao Xue; Zixi Xu (APSEC, 2017)

Accompanying Observation Modes and Software Architecture for Autonomous Robot Software. - Zhe Liu; Xinjun Mao; Shuo Yang 005 (SEKE, 2018)

AutoRobot: A Multi-Agent Software Framework for Autonomous Robots. - Zhe Liu; Xinjun Mao; Shuo Yang 005 (IEICE Trans. Inf. Syst., 2018)

Toward a Clustering-Based Approach for Self-Adjusting Impact Factors in Robotic Control Model. - Yuhong Huang; Xinjun Mao; Wanwei Liu; Shuo Yang 005; Shuo Wang (IEEE Access, 2019)

Towards an Extended POMDP Planning Approach with Adjoint Action Model for Robotic Task. - Shuo Yang 005; Xinjun Mao; Wanwei Liu (SMC, 2020)

Towards Adjoint Sensing and Acting Schemes and Interleaving Task Planning for Robust Robot Plan. - Shuo Yang 005; Xinjun Mao; Shuo Wang; Huaiyu Xiao; Yuanzhou Xue (ICRA, 2021)

An Efficient ROS Package Searching Approach Powered By Knowledge Graph. - Long Chen; Xinjun Mao; Yinyuan Zhang; Shuo Yang 005; Shuo Wang (SEKE, 2021)

Extending Behavior Trees for Representing and Planning Robot Adjoint Actions in Partially Observable Environments. - Shuo Yang 005; Xinjun Mao; Shuo Wang; Yantao Bai (J. Intell. Robotic Syst., 2021)

A Hybrid Planning Approach for Accompanying Information-gathering in Plan Execution Monitoring. - Shuo Yang 005; Xinjun Mao; Qiuzhen Wang; Yuhong Huang (J. Intell. Robotic Syst., 2021)

Towards An Efficient Searching Approach of ROS Message by Knowledge Graph. - Sun Bo; Xinjun Mao; Shuo Yang 005; Long Chen (COMPSAC, 2022)

Towards a behavior tree-based robotic software architecture with adjoint observation schemes for robotic software development. - Shuo Yang 005; Xinjun Mao; Yao Lu 003; Yong Xu (Autom. Softw. Eng., 2022)

Towards a Hybrid-ASP Planning Approach With Adjoint Observation for Incomplete Task-Relevant Information. - Shuo Yang 005; Xinjun Mao; Yuanzhou Xue; Huaiyu Xiao; Shuo Wang (IEEE Robotics Autom. Lett., 2022)

An Effective Method for Constructing Knowledge Graph to Search Reusable ROS Nodes (S). - Yuxin Zhao; Xinjun Mao; Sun Bo; Tanghaoran Zhang; Shuo Yang 005 (SEKE, 2023)

OCP: An Online Contingent Planning Method for Robot Tasks with Incomplete Knowledge. - Zhiqun Xiao; Shuo Yang 005; Yuanzhou Xue; Shuo Wang; Xinjun Mao (ICIC (LNAI 5), 2024)

ROS package search for robot software development: a knowledge graph-based approach. - Shuo Wang; Xinjun Mao; Shuo Yang 005; Menghan Wu; Zhang Zhang 005 (Frontiers Comput. Sci., 2025)