Collaborative Robotics: Safety, Applications and Trends

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: 31 August 2025 | Viewed by 373

Special Issue Editor


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Department of Mechanical and Industrial Engineering, Università degli Studi di Brescia, Via Branze, 38, 25123 Brescia, BS, Italy
Interests: applied mechanics; mechatronics; collaborative robotics; vibration control; reliability and prognostics; robotics integration in manufacturing cells
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Special Issue Information

Dear Colleagues,

Today’s advances in collaborative robotics promise to offer autonomous systems that can work safely with humans and improve our overall working conditions. The field of collaborative robotics is at the forefront of technological innovation, enabling novel applications across diverse sectors, from industries to services. With advancements in automation, artificial intelligence, and safety protocols, COBOTs are redefining efficiency, productivity, and workplace interaction. This motivates researchers, academics, and industry professionals to study, design, and develop novel enabling robotics technologies and methods. The challenge is to transfer the obtained research results and new knowledge to stakeholders, creating a general awareness of the importance of engineering in collaborative robot efficiency, safety and security, machine learning, risk and confidence management, and energy consumption.

This Special Issue aims to collect high-quality research exploring the latest developments, challenges, and opportunities in this field—highlighting the economic and social implications in collaborative robotics.

Dr. Nicola Pellegrini
Guest Editor

Manuscript Submission Information

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Keywords

  • collaborative robot (COBOT)
  • energy efficiency in data processing and COBOTs’ usage
  • COBOT applications
  • safety in challenging industrial environments
  • service robot and security implications
  • robot and system interaction: human–machine interface

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Published Papers (1 paper)

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Research

23 pages, 5838 KiB  
Article
Four-Dimensional Path Planning Methodology for Collaborative Robots Application in Industry 5.0
by Ilias Chouridis, Gabriel Mansour, Vasileios Papageorgiou, Michel Theodor Mansour and Apostolos Tsagaris
Robotics 2025, 14(4), 48; https://doi.org/10.3390/robotics14040048 - 11 Apr 2025
Viewed by 250
Abstract
Industry 5.0 is a developing phase in the evolution of industrialization that aims to reshape the production process by enhancing human creativity through the utilization of automation technologies and machine intelligence. Its central pillar is the collaboration between robots and humans. Path planning [...] Read more.
Industry 5.0 is a developing phase in the evolution of industrialization that aims to reshape the production process by enhancing human creativity through the utilization of automation technologies and machine intelligence. Its central pillar is the collaboration between robots and humans. Path planning is a major challenge in robotics. An offline 4D path planning algorithm is proposed to find the optimal path in an environment with static and dynamic obstacles. The time variable was embodied in an enhanced artificial fish swarm algorithm (AFSA). The proposed methodology considers changes in robot speeds as well as the times at which they occur. This is in order to realistically simulate the conditions that prevail during cooperation between robots and humans in the Industry 5.0 environment. A method for calculating time, including changes in robot speed during path formation, is presented. The safety value of dynamic obstacles, the coefficients of the importance of the terms of the agent’s distance to the ending point, and the safety value of dynamic obstacles were introduced in the objective function. The coefficients of obstacle variation and speed variation are also proposed. The proposed methodology is applied to simulated real-world challenges in Industry 5.0 using an industrial robotic arm. Full article
(This article belongs to the Special Issue Collaborative Robotics: Safety, Applications and Trends)
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