DC15 - Replicable Provenance-Based Execution and Analysis of Evaluation and Validation Scenarios

Objectives

1. To create a thorough provenance model for tracking and recording validation and evaluation campaigns of cognitive robots.
2. To create a ROS-based provenance recording tool adhering to the provenance model for seamless integration into both simulated and real-world evaluation scenarios.

Expected Results

1. Provenance meta-model tailorable to varying evaluation campaigns in different domains.
2. ROS-based provenance recording and storage framework facilitating querying over past campaigns.

Planned Secondment(s)

1. S29 ITU, Prof. Varshosaz, 2 months in M14-15
2. S30 EIVA, Dr. Brodsky, 2 months in M26-27

Required Skills

Essential

• Computer Science/Engineering degree
• Excellent programming skills (C++, Python etc.)

Desirable

• Knowledge in ROS and robot simulators (e.g. Gazebo, IsaacSim, etc.)
• Practical experience with knowledge graphs and semantic web technologies