COTORRA: COntext-aware Testbed fOR Robotic Applications
This provides a modular testbed for researchers and developers in robotics to test applications in lab/university settings, though it is incremental as it builds on existing Edge & Fog computing concepts.
The authors tackled the challenge of validating robotic systems before deployment by proposing COTORRA, an Edge & Fog driven robotic testbed that integrates context information with robot sensor data, achieving target latencies below 15ms for autonomous navigation and inter-domain federation within 19 seconds.
Edge & Fog computing have received considerable attention as promising candidates for the evolution of robotic systems. In this letter, we propose COTORRA, an Edge & Fog driven robotic testbed that combines context information with robot sensor data to validate innovative concepts for robotic systems prior to being applied in a production environment. In lab/university, we established COTORRA as an easy applicable and modular testbed on top of heterogeneous network infrastructure. COTORRA is open for pluggable robotic applications. To verify its feasibility and assess its performance, we ran set of experiments that show how autonomous navigation applications can achieve target latencies bellow 15ms or perform an inter-domain (DLT) federation within 19 seconds.