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Leaf: A Learning-Based Fault Diagnostic System For Multi-Robot Teams, Balajee Kannan
Leaf: A Learning-Based Fault Diagnostic System For Multi-Robot Teams, Balajee Kannan
Doctoral Dissertations
The failure-prone complex operating environment of a standard multi-robot application dictates some amount of fault-tolerance to be incorporated into every system. In fact, the quality of the incorporated fault-tolerance has a direct impact on the overall performance of the system. Despite the extensive work being done in the field of multi-robot systems, there does not exist a general methodology for fault diagnosis and recovery. The objective of this research, in part, is to provide an adaptive approach that enables the robot team to autonomously detect and compensate for the wide variety of faults that could be experienced. The key feature …