Soft Robotics and AI


Overview of Special Issue

Even with the recent technological advancements in industrial domain, the digital transformation and its implications on human operations/processes is still remaining as a huge black box. Despite the fact that the Industry 4.0 concept has made automation, digitization, and assistive technologies increasingly common in production and logistics, it is widely agreed that people will continue to play an important role in the industrial systems/processes. The European Commission has recently begun to push a complementary new strategy known as Industry 5.0 with a vision to overcome the challenges of Industry 4.0 by providing explicit attention to outcomes for humans in the system in order to create human-centric, resilient and sustainable systems. Industry 5.0 goes a step further by integrating machines to boost production while also increasing the efficiency of its collaborators.

Soft robotics and smart computation are two recent exciting trends in robotics that are expected to provide novel approaches and high-impact applications in Industry 5.0. Over the years, soft robotics and Artificial Intelligence (AI)-based industrial robots has enhanced the decision making process for multiple dimensions in industrial environment. It is presumed that across robotics systems, the use of soft and malleable materials is critical for dealing with unpredictable tasks and conditions, such as mobility in difficult pathways, gripping and manipulating unknown and unstructured objects and on the other hand the research field of Artificial Intelligence [AI] driven industrial robot technologies implements the novel concepts and theories to increase the support and also improve the services concerning Industry 5.0. Henceforth, by properly designing the dynamics and AI driven models, physical systems such as soft robotic systems can benefit from intelligent control architectures and improved overall system performance. Recent years have seen industrial practitioners use AI-based and soft robotics methods for achieving mass personalization across multiple industrial sectors including internal/external communication, predictive analysis, fault diagnosis, autonomous manufacturing and production models, multimedia based solutions and so on.

With the common goal of achieving mass automation, personalization, the integration of industry 5.0, soft robotics and AI can be performed to create a smart innovation. One of the key characteristics of industry 5.0 is to use soft/smart robots to overcome several challenges such as adaptability, decision making and robustness. With the integration of AI-driven smart and soft robotics, Industry 5.0 will be integrated with different industrial sectors, which include supply chain management, telecommunication, automotive, virtual reality, and smart society for providing smart and systematic industrial services.

The main focus of this special issue is the development of novel strategies and frameworks for improving humanmachine cooperation in Industry 5.0 by utilizing AI-driven smart and soft robotic methodologies. Researchers are welcome to submit novel research papers that explore at AI-driven soft/smart/systematic human-machine collaboration from an industrial perspective.

List of Potential Topics:

  • AI-driven intelligent robotics for process automation
  • Soft Robotics driven control and manipulation
  • Mobile robot navigation, localization, and mapping
  • Collaborative and multi robot systems for Industry 5.0
  • Physical human-robot interaction and soft technologies
  • Human-robot activity allocation and scheduling in Industry 5.0
  • Adaptive, flexible and reconfigurable robots from industrial perspective
  • Design optimization, modeling and simulation for soft bodied robots and structures
  • Soft sensing and navigation for soft robots
  • AI-driven supply chain management in Industry 5.0
  • Affecting computing based robotic solutions in industry 5.0 context
  • Wearable robotics and wireless computing application for advancing Industry 5.0
  • Advanced Machine learning techniques in Industry 5.0

Important Dates

ScholarOne submission window open: 2 February 2022

ScholarOne submission deadline: 25 May 2022

Publication: March 2023

Submission Information

To submit a manuscript, please do so through IR’s ScholarOne site.

For IR’s Author Guidelines, please click here.

Guest Editors:

  • Dr. A. Pasumpon Pandian (Managing Guest Editor)
    Professor and Dean, Department of CSE, CARE College of Engineering, India.
    [email protected]
  • Dr. Robert Bestak
    Professor, Czech Technical University in Prague, Czech Republic.
    [email protected]
  • Dr. Klimis Ntalianis
    Professor, University of Applied Sciences Greece.
    [email protected]
  • Dr. Ram Palanisamy
    Professor, StFX University, Canada.
    [email protected]