The Autonomous Multi-agent Systems Lab

Introduction:

The Autonomous Multi-agent Systems Lab (AMSL) explores ways to generalize autonomy for any system with more than one object (modeled as an agent). Compared with a single object, controlling these systems are usually more complicated because of the interference between members in the team. So far, three major problems are identified and listed as the current main aims of this lab.

• Large-scale muti-agent systems decision-making: problems caused by computational complexity and high-concurrent communications

• Computational limit on cyber-physical systems: the onboard machine learning problem

• Trustworthy and safe learning

• Applications:

  • Robotics

  • Power Grids

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