Failure Recognition and Fault Tolerance of an Autonomous Robot

Abstract

The purpose of this article is twofold The first goal is to present important issues in designing fault-tolerant systems for autonomous robots. The second is to present the fault-tolerance capabilities we implemented on our autonomous robot. Our approach is characterized by a distributed network of concurrently running processes. To tolerate hardware failures, a set of fault-tolerance processes is written for each component. These processes are responsible for detecting faults in their respective component and for minimizing the impact of the failure on the robot's performance. By exploiting concurrency and distributedness, the system monitors, detects, and compensates for component failures simultaneously. The capabilities of this system have been tested by physically disabling and enabling the robot's sensors and actuators. The system quickly recognizes and compensates for both minor and severe sensor and actuator failures. lt tolerates a variety of sensor failures such as decalibration, erroneous readings, and permanent failures. lt also tolerates various combinations of failures such as individual failures, concurrent failures, and accumulative failures.

Keywords

fault tolerance failure recognition autonomous robot distributed control legged locomotion adaptive sensing

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