Multi Agent Bio-Robotics
The mission of the Multi Agent Bio-robotics Laboratory is to study robotics and biologically inspired learning models for multi-agent and complex system of systems. There are three main track of funded research in MABL: Embedded Fault Analysis and Prognosis, Bayesian Network Learning for Knowledge Discovery, and System of Systems Engineering. In addition, the characterization and modeling of materials for MEMS devices including soft and active materials is also another partially funded research activity. There are other ongoing research activities in Machine Learning and Robotics fields. More specifically, MABL students have designed humanoid and hexapod series of robot with full inverse kinematics and control. Finally, the navigation and localization of mobile robots for the disabled is another important research endeavor where some funding has been secured for designing and testing of a Smart Walker for elderly. More details regarding these projects can be found here.