Latest entries for tag 'fault-analysis'

Generic Logging to MongoDB

Autonomous mobile robots produce an astonishing amount of run-time data during their operation. Data is acquired from sensors and actuator feedback, processed to extract information, and further refined as the basis for decision making or parameter estimation. In today’s robot systems, this data is typically volatile. It is generated, used, and disposed right away. However, some of this data might be useful later, for example to analyze faults or evaluate the robot’s performance. A system is required to store this data as well as enable efficient and flexible querying mechanisms.

We have created systems based on the document-oriented, schema-free database MongoDB that is able to store any and all data transmitted via Fawkes blackboard interfaces or ROS topics. A particularly important property is that the interface or message type structure is inherited by the database document, thus allowing selective queries on the stored data. By creating appropriate indexes access is also very efficient. The architecture has been implemented and released as Open Source software for Fawkes and ROS.

This work has recently been accepted for publication at IROS 2012 in the paper "A Generic Robot Database and its Application in Fault Analysis and Performance Evaluation" (Niemueller, Lakemeyer, Srinivasa). The work has been conducted in a cooperation of the Personal Robotics Lab at The Robotics Institute of the Carnegie Mellon University and the Knowledge-based Systems Group of the Computer Science Department of the RWTH Aachen University.

The data can open the door to a wide array of applications, two of which we sketch in the paper. For one, we develop a model of robot data processing and make use of this model to guide our way to manual data-driven fault analysis. For another, we use the MapReduce paradigm to query the data for performance data like number of successful executions and average run times of the behavior system for a particular time range.

The project is described in detail on the Generic MongoDB logging project page.

Posted by Tim Niemueller on July 31, 2012 18:24