Improving Resilience of Autonomous Moving Platforms by Real Time Analysis of Their Cooperation

TL;DR

This paper introduces a novel multi-level state diagram approach and a model checking technique to enhance the resilience of Autonomous Moving Platforms against environmental and operational failures.

Contribution

It presents a new modeling and verification framework for detecting irregularities in autonomous platform cooperation, improving system robustness.

Findings

Modeling of advanced interactions between AMPs

Detection of deadlocks and live-locks

Development of Dedan verifier tool

Abstract

Environmental changes, failures, collisions or even terrorist attacks can cause serious malfunctions of the delivery systems. We have presented a novel approach improving resilience of Autonomous Moving Platforms AMPs. The approach is based on multi-level state diagrams describing environmental trigger specifications, movement actions and synchronization primitives. The upper level diagrams allowed us to model advanced interactions between autonomous AMPs and detect irregularities such as deadlocks live-locks etc. The techniques were presented to verify and analyze combined AMPs' behaviors using model checking technique. The described system, Dedan verifier, is still under development. In the near future, a graphical form of verified system representation is planned.