This track focuses on the latest developments in smart materials specifically designed for robotic applications. Researchers are invited to present innovative materials that enhance robotic functionality and adaptability.

This session explores the integration of nanotechnology into automation systems, highlighting its potential to revolutionize manufacturing processes. Contributions should address both theoretical and practical aspects of nanoscale innovations.

This track emphasizes the role of predictive modeling in the development and application of smart materials. Papers should discuss methodologies that enhance the performance and reliability of these materials in various engineering contexts.

This session invites contributions on the use of supervised and unsupervised learning techniques for the characterization of smart materials. Emphasis will be placed on novel algorithms and their effectiveness in extracting meaningful features.

This track addresses the challenges and solutions related to anomaly detection in systems utilizing smart materials. Participants are encouraged to share their findings on methodologies that improve system monitoring and fault detection.

This session focuses on the automation of workflows in the context of robotics and smart materials. Papers should explore innovative approaches that streamline processes and enhance efficiency in engineering applications.