DT4Rob&AI – IAS-18 Special Session

Special Session on Digital Twinning for Robots and Artificial Intelligence

18th International Conference on Intelligent Autonomous Systems (IAS-18, 2022)

The conference

The International Conference on Intelligent Autonomous Systems aims to explore the advancements in Artificial Intelligence, Machine Learning, and Adaptive Control and their impact on developing robust and flexible autonomous systems. It provides a platform for researchers and experts to share their latest findings and discuss new challenges in Intelligent Autonomous Systems. This year IAS will take place on July 4-7, 2023, in Suwon with the theme “Impact and Effect of AI on Intelligent Autonomous Systems.

Conference Website: https://ias-18.org/

Important Dates

Sumbission: February 18, 2023
Camera-ready Submission: May 15, 2023

Submission Guidelines

Page Limit: 6 to 12, including references
Submission Platform: Papercept
Special Session Code: d817i
LaTeX template: https://ias-18.org/wp-content/uploads/2022/10/latex_template.zip
MS-Word template: https://ias-18.org/wp-content/uploads/2022/10/T1-book.zip
Authors Instructions: https://ias-18.org/wp-content/uploads/2022/10/author_instructions.pdf

For the full guideline visit the conference website.

The Special Session

Simulation has always played a crucial role in testing and validating robotics and artificial intelligence (AI) applications. However, with the advancement of learning research, simulation has also become a vital tool for AI systems to acquire and develop new skills through reinforcement learning approaches. Today, simulation tools and platforms have reached a level of maturity that allows them to take on a new role in the development of robotics and AI applications. These tools can now be used as a knowledge representation layer by AI agents, allowing them to interact with the environment and serve as a surrogate for human cognition. In addition to serving as a representation layer, simulation tools can also be used to predict the effects of an AI agent’s actions. One particular application of these tools is in the creation of digital twins (DTs), which are digital replicas of real physical systems used to represent and monitor the evolution of a system. With the advancement of simulation technologies and increased computational power, it is now possible to use DTs not just as a visual representation but also to drive the behaviour of a system. For example, an autonomous robot could use the representation provided by a DT to better estimate unavailable parameters, predict the effects of its actions, and create virtual environments for human interaction (e.g., semi-autonomous teleoperation). While research in this area is ongoing, the field is scattered and requires further effort in defining its scope and potential. This special session aims to bring together researchers working on the integration of simulation technologies with AI applications and to establish clearer definitions of the problems and opportunities presented by these tools. The organizers believe that this special session is relevant for the IAS community as it provides a novel perspective on the use of simulation tools for deploying AI solutions in real-world environments, focusing not only on the technological aspect but also on the implications for AI development.

Themes of interest to this special session include, but are not limited to:

  • Integration of simulation technologies with AI systems
  • Reinforcement learning through simulation
  • Knowledge representation layer for AI agents
  • Digital twins for real-world systems
  • Prediction of AI agent’s actions
  • Virtual environments for human interaction
  • Autonomous robots using simulation for parameter estimation
  • Definition of problems and opportunities in the integration of simulation and AI


Alessandro Carfì, University of Genoa, alessandro.carfi@dibris.unige.it
Anany Dwivedi, Friedrich-Alexander-Universitat
Philip Beckerle, Friedrich-Alexander-Universitat
Fulvio Mastrogiovanni, University of Genoa