Industry 4.0 (I4.0) encompasses a plethora of digital technologies effecting on manufacturing enterprises. Most research on this topic examines the effects in the smart factory domain, focusing on ...

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review

Errors and Complex Systems: Introduction Errors, complex systems, accidents, and investigations. Antecedents: Equipment The operator The company and the regulator Maintenance and inspection Multi-operator systems Culture. Data and Data Analysis: System recorders Written documentation Interviews Analysis. Issues: Situation awareness and decision making Automation. Applying the Data: Case study Final thoughts.

Investigating Human Error: Incidents, Accidents, and Complex Systems : Incidents, Accidents and Complex Systems

Systematic literature review on augmented reality in smart manufacturing: Collaboration between human and computational intelligence

ROS : Robot Operating System

Nowadays, numerous companies and industries introduce recycling processes in their production, aiming to increase the sustainable use of the planet’s natural resources. Nevertheless, these processes remain inefficient due to the high degree of complexity and variation in the products. In order to remedy this, industry stakeholders adopt the circular economy business model and introduce take-back programmes and remanufacturing processes for their End of Life products in their own supply chains. Take-back programmes enable the re-sourcing of sub-assemblies and components of previously manufactured products while remanufacturing processes encourage non-destructive disassembly. Due to the uncertain conditions of the re-sourced products, fully automated cells cannot cope with the demanding disassembly processes. Therefore, there is a need to establish hybrid disassembly robot cells where humans and robots work closely together in a process known as human–robot collaborative disassembly (HRCD). This paper examines the landscape of HRCD and reviews the progress in the field during the period 2009–2020. The analysis investigates principles and elements of human–robot collaboration in industrial environments such as safety standards and collaborative operation modes, HRI communication interfaces, and the design characteristics of a disassembly process. Additionally, the various technical challenges of HRCD are explored, and a review of existing systems supporting HRCD is presented. This review aims to support the robotics community in the future development of HRCD systems, discuss identified literature gaps, and suggest future research directions in this area.

Human-robot collaboration in industrial environments: A literature review on non-destructive disassembly

Mixed reality-based user interface for quality control inspection of car body surfaces

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

This research develops a new mixed reality-based worker interface for industrial camera 3D positioning, which is intuitive and easy to manage, in order to enhance the worker safety, ergonomics and productivity. An experimental prototype to be used in the car body quality control is developed in the paper. The benefits and drawbacks of the proposed interface are discussed along the paper and sustained through several usability tests conducted with users familiar and not-familiar with mixed reality devices. Furthermore, the feasibility of the proposed approach is demonstrated by tests made in an industrial environment with skilled workers from Alfatec Sistemas company.

Camera 3D positioning mixed reality-based interface to improve worker safety, ergonomics and productivity

This paper describes the automation of a Neighborhood Electric Vehicle (NEV) and the embedded distributed architecture for implementing an Advanced Driving Assistance System (ADAS) with haptic, visual, and audio feedback in order to improve safety. For the automation, original electric signals were conditioned, and mechanisms for actuation and haptic feedback were installed. An embedded distributed architecture was chosen based on two low-cost boards and implemented under a Robotics Operating System (ROS) framework. The system includes features such as collision avoidance and motion planning.

/pdf/advanced-driving-assistance-systems-for-an-electric-vehicle-444qfgsyrz.pdf

Advanced Driving Assistance Systems for an Electric Vehicle

This paper reflects the state of art in the field of human factors for unmanned aerial vehicles. It describes the GEDIS-UAV guide, which is a modification of the GEDIS guide. It also shows the evaluation of the Sky-eye project graphical user interface as an example of the methodology. The analysis and evaluation method reflected in this paper may be used to improve the graphical user interface of any unmanned aerial vehicle.

/pdf/supervisory-control-interface-design-for-unmanned-aerial-1p01grsxqg.pdf

Adolfo Muñoz

Papers

Mixed reality-based user interface for quality control inspection of car body surfaces

Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

Camera 3D positioning mixed reality-based interface to improve worker safety, ergonomics and productivity

Advanced Driving Assistance Systems for an Electric Vehicle

Supervisory control interface design for unmanned aerial vehicles through GEDIS-UAV