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Human-machine interaction is increasingly important in industry, and this trend will only intensify with the rise of Industry 5.0. Human operators have skills that need to be adapted when using machines to achieve the best results. It is…

Robotics · Computer Science 2025-09-17 Antoine Lénat , Olivier Cheminat , Damien Chablat , Camilo Charron

Metarobotics aims to combine next generation wireless communication, multi-sense immersion, and collective intelligence to provide a pervasive, itinerant, and non-invasive access and interaction with distant robotized applications. Industry…

Robotics · Computer Science 2024-04-09 Eric Guiffo Kaigom

The use of robots in industrial settings continues to grow, driven by the need to address complex societal challenges such as labor shortages, aging populations, and ever-increasing production demands. In this abstract, we advocate for (and…

The Industry 4.0 paradigm promises shorter development times, increased ergonomy, higher flexibility, and resource efficiency in manufacturing environments. Collaborative robots are an important tangible technology for implementing such a…

Robotics · Computer Science 2020-07-15 Prajval Kumar Murali , Kourosh Darvish , Fulvio Mastrogiovanni

The Industry 5.0 paradigm focuses on industrial operator well-being and sustainable manufacturing practices, where humans play a central role, not only during the repetitive and collaborative tasks of the manufacturing process, but also in…

Robotics · Computer Science 2024-11-01 Daniel Barros , Paula Fraga-Lamas , Tiago M. Fernandez-Carames , Sergio Ivan Lopes

Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation process. However, for complex manipulation tasks, hard…

Manufacturing is facing ever changing market demands, with faster innovation cycles resulting to growing agility and flexibility requirements. Industry 4.0 has been transforming the manufacturing world towards digital automation and the…

Robotics · Computer Science 2024-09-26 Taneli Lohi , Samuli Soutukorva , Tapio Heikkilä

An effective human-robot collaborative process results in the reduction of the operator's workload, promoting a more efficient, productive, safer and less error-prone working environment. However, the implementation of collaborative robots…

Robotics · Computer Science 2024-03-11 Miguel Neves , Laura Duarte , Pedro Neto

Significant progress in robotics reveals new opportunities to advance manufacturing. Next-generation industrial automation will require both integration of distinct robotic technologies and their application to challenging industrial…

Worker-Robot Cooperation is a new industrial trend, which aims to sum the advantages of both the human and the industrial robot to afford a new intelligent manufacturing techniques. The cooperative manufacturing between the worker and the…

Robotics · Computer Science 2024-04-02 Ahmed R. Sadik , Bodo Urban , Omar Adel

Programming industrial robots is not very intuitive, and the programmer has to be a domain expert for e.g. welding and programming to know how the task is optimally executed. For SMEs such employees are not affordable, nor cost-effective.…

Robotics · Computer Science 2015-03-18 Stefan Profanter

The shift in research focus from Industry 4.0 to Industry 5.0 (I5.0) promises a human-centric workplace, with social and well-being values at the centre of technological implementation. Human-Robot Collaboration (HRC) is a core aspect of…

Robotics · Computer Science 2025-06-26 James Fant-Male , Roel Pieters

Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in robotics and artificial intelligence open new frontiers of…

Industry 4.0 introduced AI as a transformative solution for modernizing manufacturing processes. Its successor, Industry 5.0, envisions humans as collaborators and experts guiding these AI-driven manufacturing solutions. Developing these…

Computer Vision and Pattern Recognition · Computer Science 2025-01-15 Shivansh Sharma , Mathew Huang , Sanat Nair , Alan Wen , Christina Petlowany , Juston Moore , Selma Wanna , Mitch Pryor

Many industrial tasks-such as sanding, installing fasteners, and wire harnessing-are difficult to automate due to task complexity and variability. We instead investigate deploying robots in an assistive role for these tasks, where the robot…

Robotics · Computer Science 2024-01-24 Michael Hagenow , Emmanuel Senft , Robert Radwin , Michael Gleicher , Michael Zinn , Bilge Mutlu

From robots that replace workers to robots that serve as helpful colleagues, the field of robotic automation is experiencing a new trend that represents a huge challenge for component manufacturers. The contribution starts from an…

The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another…

Artificial Intelligence · Computer Science 2024-05-29 Étienne Fournier , Christine Jeoffrion , Belal Hmedan , Damien Pellier , Humbert Fiorino , Aurélie Landry

As a digital environment of interconnected virtual ecosystems driven by measured and synthesized data, the Metaverse has so far been mostly considered from its gaming perspective that closely aligns with online edutainment. Although it is…

Robotics · Computer Science 2024-04-12 Eric Guiffo Kaigom

The future of work does not require a choice between human and robot. Aside from explicit human-robot collaboration, robotics can play an increasingly important role in helping train workers as well as the tools they may use, especially in…

This position paper explores the integration of Artificial Intelligence (AI) into force-controlled robotic tasks within the scope of advanced manufacturing, a cornerstone of Industry 4.0. AI's role in enhancing robotic manipulators - key…

Robotics · Computer Science 2025-06-12 Vincenzo Petrone , Enrico Ferrentino , Pasquale Chiacchio
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