A decentralized architecture and simple consensus algorithm for autonomous agents

Meyer, Ole; Hesenius, Marc; Gries, Stefan; Wessling, Florian; Gruhn, Volker

doi:10.1145/3241403.3241413

Cited by 1 publication

(2 citation statements)

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“…It is in the responsibility of a group of nodes, their communication, and the emergent behavior, which is typical for such systems. This also complicates the system development, since logic and the guarantee of the correctness of the system can no longer be carried out locally [37], instead completely distributed over a set of autonomous systems, whereby the exact composition of the systems need not necessarily be known at the time of development. This is often the case, for example, in CPS [24].…”

Section: Finding Consensus In Decentralized Autonomous Systemsmentioning

confidence: 99%

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Production logistics and human-computer interaction—state-of-the-art, challenges and requirements for the future

Klumpp¹,

Hesenius

Meyer

et al. 2019

Int J Adv Manuf Technol

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Current concept, development, and testing applications in production concerning Cyber-Physical Systems (CPS), Industry 4.0 (I40), and Internet of Things (IoT) are mainly addressing fully autonomous systems, fostered by an increase in available technologies regarding distributed decision-making, sensors, and actuators for robotics systems. This is applied also to production logistics settings with a multitude of transport tasks, e.g., between warehousing or material supply stations and production locations within larger production sites as for example in the automotive industry. In most cases, mixed environments where automated systems and humans collaborate (e.g., cobots) are not in the center of analysis and development endeavors although the worker's adoption and acceptance of new technologies are of crucial relevance. From an interdisciplinary research perspective, this constitutes an important research gap, as the future challenges for successful automated systems will rely mainly on human-computer interaction (HCI) in connection with an efficient collaboration between motivated workers, automated robotics, and transportation systems. We develop a HCI efficiency description in production logistics based on an interdisciplinary analysis consisting of three interdependent parts: (i) a production logistics literature review and process study, (ii) a computer science literature review and simulation study for an existing autonomous traffic control algorithm applicable to production logistics Purpose This paper addresses three approaches determined to analyze the crucial role of human interaction in automated environments in production logistics and Industry 4.0 settings. The methods stem from different disciplines as successful automation concepts also have to consider computer science, economics and work science perspectives. Contribution We answer the question of human intuition and its development within a digitalized production logistics setting as well as automated algorithm reaction to human actions from an interdisciplinary perspective. So far, existing research contributions are mainly focusing on technical aspects and automation concepts as solely computer science optimization aspects. However, feasible and sustainable concepts for automated production, e.g., within production transport will only work out if the human factor is included as for a long time to come production environments will be mixed settings of robotics and human workers. Thus, we develop a HCI efficiency description in production logistics for future research and business applications.

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Section: Finding Consensus In Decentralized Autonomous Systemsmentioning

confidence: 99%

“…Our example scenario describes a decentralized system for collision-free control of intersecting travel paths of autonomous systems [37]. The general problem can be applied to autonomous systems in road traffic, warehouses, or industrial areas.…”

Section: Prototype For Collision Avoidance In Autonomous Trafficmentioning

confidence: 99%