Intelligent Social Systems and Swarm Robotics Lab (IS3R)Our mission and vision
Our research focuses on Multi-Agent/Robot Systems (MAS/MRS), Artificial Intelligence, Cognitive Modeling, Swarm Intelligence, Swarm Robotics, and Human-Robot Interaction (HRI). We strive to understand the relationships between entities and how we can simulate their interaction and apply them to AI agents (like robots) in unknown and adversarial environments. These works concern the computational issues of distributed intelligent systems having a physical instantiation in the real world, such as multi-robot systems, wireless sensor networks, or software agents. It characterizes multiple entities that integrate perception, reasoning, decision, learning, and action to perform cooperative tasks under circumstances that are insufficiently known in adversarial status and dynamical change during task execution.
Research Goal: We aim to build friendly AI social systems working with humans in harmony and supporting sustainable human development!
We are looking for highly self-motivated students who are interested in robotics and artificial intelligence. If you want to involve our research and join the IS3R Lab, please send Dr. Yang an email with your CV, transcripts and your interests.
References
Latest News
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Dr. Yang received an award from the NSF Foundational Research in Robotics (FRR) program
Dr. Yang received a $174,964 award from the NSF Foundational Research in Robotics (FRR) program for his research on "Cooperative Multi-Agent Systems Cognitive Modeling" over two years, starting July 1, 2024.
For more details, please check.
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Our paper was accepted by the 2025 IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS)
Our paper "Digital Twin Synchronization: Bridging the Sim-RL Agent to a Real-Time Robotic Additive Manufacturing Control" has been accepted by the 2025 IEEE International Conference on Engineering Reliable Autonomous Systems (ERAS).
For more details, please check.
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Three Papers Accepted by the 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)"
Our papers "Innate-Values-Driven Reinforcement Learning Based Cognitive Modeling", "Innate-Values-Driven Reinforcement Learning Based Cooperative Multi-Agent Cognitive Modeling", and "Edge Computing Based Human-Robot Cognitive Fusion: a Medical Case Study in the Autism Spectrum Disorder Therapy" have been accepted by the 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA).
For more details, please check.