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.
To explore the current state of robotics and AI technologies in the context of manufacturing and factory automation. This may involve discussing recent advancements in robotics and AI, as well as challenges and limitations that still need to be addressed.
To discuss the potential applications of robotics and AI in the future factory, including how these technologies can improve productivity, efficiency, safety, and quality control in manufacturing processes.
To examine the ethical and social implications of robotics and AI in the future factory. This may involve discussing issues related to job displacement, data privacy, and the impact of these technologies on society as a whole.
To facilitate collaboration and knowledge sharing among researchers, practitioners, and industry professionals working in the fields of robotics, AI, and manufacturing. This may involve presenting case studies, sharing best practices, and brainstorming potential solutions to common challenges.
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