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Discussing the Reality Gap by Comparing Physics Engines in Kilobot Simulations Meier, Andreas; Carroccio, Sascha; Dornberger, Rolf; Hanne, Thomas
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

The difference between real experiments and their simulated counterparts, the so-called reality gap, is dependent on various factors and a challenging issue for every simulation-based robot experiment. The reality gap in robot experiments is often caused by software, which is not always able to sufficiently capture particular details and process them properly. In order to minimize this difference, this paper strives to assess different simulation physics engines in V-REP, the simulation framework for the Kilobot swarm robots. The outcome of the simulation software adaption is based on a unified multi robot experiment applied to Kilobots. This paper proposes a simulation attitude, which reflects the outcomes of a real world experiment with Kilobots accurately.
Quantum Computing in Supply Chain Management State of the Art and Research Directions Gachnang, Phillip; Ehrenthal, Joachim; Hanne, Thomas; Dornberger, Rolf
Asian Journal of Logistics Management Vol 1, No 1 (2022): Asian Journal of Logistics Management
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.185 KB) | DOI: 10.14710/ajlm.2022.14325

Abstract

Quantum computing is the most promising computational advance of the coming decade for solving the most challenging problems in supply chain management and logistics. This paper reviews the state-of-the-art of quantum computing and provides directions for future research. First, general concepts relevant to quantum computers and quantum computing are introduced. Second, the dominating quantum technologies are presented. Third, the quantum industry is analyzed, and recent applications in different fields of supply chain management and logistics are illustrated. Fourth, directions for future research are given. We hope this review to educate and inspire the use of quantum computing in the fields of optimization, artificial intelligence, and machine learning for supply chain and logistics.