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Wheeled robots have been widely used in People’s Daily life. Accurate positioning is the premise of autonomous navigation. In this paper, an optimization-based visual-inertial-wheel odometer tightly coupled system is proposed, which solves the problem of failure of visual inertia initialization due to unobservable scale.The aim of this paper is to achieve robust localization of visually challenging scenes.

During system initialization, the wheel odometer measurement and visual-inertial odometry (VIO) fusion are initialized using maximum a posteriori (MAP). Aiming at the visual challenge scene, a fusion method of wheel odometer and inertial measurement unit (IMU) measurement is proposed, which can still be robust initialization in the scene without visual features. To solve the problem of low track accuracy caused by cumulative errors of VIO, the local and global positioning accuracy is improved by integrating wheel odometer data. The system is validated on a public data set.

The results show that our system performs well in visual challenge scenarios, can achieve robust initialization with high efficiency and improves the state estimation accuracy of wheeled robots.

To realize robust initialization of wheeled robot, wheel odometer measurement and vision-inertia fusion are initialized using MAP. Aiming at the visual challenge scene, a fusion method of wheel odometer and IMU measurement is proposed. To improve the accuracy of state estimation of wheeled robot, wheel encoder measurement and plane constraint information are added to local and global BA, so as to achieve refined scale estimation.

This paper outlines the diversity and inclusion framework for Industry 5.0, which has human-centricity, sustainability and resilience as its main characteristics. This is concerning the disruption technology has caused.

A rapid scoping review was carried out, which collates recent scholarly outputs. It is based on a sample of 92 high-quality documents from two databases focusing on diversity and inclusion in Industry 5.0. Further, the authors have analyzed the literature based on the McKinsey 7S model and formed a diversity framework for Industry 5.0 to promote innovation.

These findings can support Diversity 5.0 applications with human–robot collaboration and a human-centric approach in Industry 5.0. The article provides key insights on cross-cutting themes like upskilling given digitization, innovation and other HR trends in the industry.

The study suggests that HR professionals, governments and policymakers can use the recommendations to broaden their perspectives and develop policies, interventions, laws and practices that will impact the future workforce and boost innovation.

This will help organizations in Industry 5.0 to be competitive and build on their talent management strategies to fulfill their diversity goals as well as support sustainable development goals.

We give critical views on the aspects that will define the future of work in terms of skills, innovation and safety for employees, drawing on results from a wide range of theoretical and analytical viewpoints.

Industry 4.0 defines the application of digital technologies on business infrastructure and processes. With the increasing need to take into account the social and environmental impact of technologies, the concept of Society 5.0 has been proposed to restore the centrality of humans in the proper utilization of technology for the exploitation of innovation opportunities. Despite the identification of humans, resilience and sustainability as the key dimensions of Society 5.0, the definition of the key factors that can enable Innovation in the light of 5.0 principles has not been yet assessed.

An SLR, followed by a content analysis of results and a clustering of the main topics, is performed to (1) identify the key domains and dimensions of the Industry 5.0 paradigm; (2) understand their impact on Innovation 5.0; (3) discuss and reflect on the resulting implications for research, managerial practices and the policy-making process.

The findings allow the elaboration of a multileveled framework to redefine Innovation through the 5.0 paradigm by advancing the need to integrate ICT and technology (Industry 5.0) with the human-centric, social and knowledge-based dimensions (Society 5.0).

The study detects guidelines for managers, entrepreneurs and policy-makers in the adoption of effective strategies to promote human resources and knowledge management for the attainment of multiple innovation outcomes (from technological to data-driven and societal innovation).