IROS 2023

Workshop: Robotics & AI in Future Factory

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Aim and Scope

The future of manufacturing requires factories to be flexible and reconfigurable to provide on-demand production. Various technologies have been identified as the keys to realize this goal, such as IoT, digital twin, AI-enabled robotics and automation. The workshop aims to provide a comprehensive understanding of the latest advancements in Robotics & AI technologies in the context of future factories, by bringing together researchers from different backgrounds to share their expertise and experience on implementing innovative solutions to challenging problems. It seeks to identify challenging problems in Robotics and AI imperative to achieve flexible manufacturing and production as a service. The participants of the workshop will be encouraged to think critically to explore new opportunities and provide new prospects in various research directions to address the critical questions as well as considering their impact on society, such as job displacement, privacy, and inequality. They will also be provided with hands-on experience with AI tools and technologies, such as machine learning algorithms and robotic process automation.

This workshop explores the latest Robotics & AI technologies for future factories, bringing together researchers to share innovative solutions to challenging problems. Topics include key challenges to achieving flexible manufacturing and production as a service, along with their social impact. Participants gain hands-on experience with AI tools such as machine learning and robotic process automation. The objectives of this workshop are given as follows.

Intuitive robot programming

Reconfigurable workcells

Interfaces for human-robot collaboration

Learning for flexible manufacturing

Logistic and navigation in industry

Digital twins and augmented reality

Industrial internet of things

Human-robot collaboration

Intelligent sensing and perception

Machine learning and data analytics for factory optimization

Augmented reality and virtual reality

Case studies and demonstrators

Prof. Dongheui Lee

Dr. Jan R. Seyler

Prof. Kensuke Harada

Prof. Aleš Ude

Prof. Nadia Figueroa

Prof. Miao Li

Prof. Andrea Cherubini

Prof. Javier Alonso-Mora

Prof.  João Cavalcanti Santos 

Dr. Wei Xi

Sponsors