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Aiming at presenting an interaction-free assembly assistance tool, the purpose of this paper is to propose a synchronous augmented reality (AR) assembly assistance and monitoring system. The system monitors operator’s hands activity and process completeness to recognize the assembly state, then display the AR contents contextually.

An assembly behavior recognition method is proposed based on gesture recognition. An assembly completeness inspection method is proposed based on SURF feature matching. Assembly state and AR display state are solved by a novel sequential hybrid AR display control strategy. A synchronous multi-channel AR view output strategy is proposed based on QR matrix decomposition.

A prototype system has been developed, and case study is performed on an industrial product. Experiments are performed to verify the feasibility, efficiency and recognition accuracy of the proposed methods.

The proposed system assists users to perform assembly tasks with automatic visual guidance and vision monitoring, avoiding distractions caused by redundant human–computer interactions.

All methods are integrated to work on only one head-worn device, making the proposed system portable and cheaper. The vision processing pipelines and the view output channels are reconfigurable for customization.

This paper proposes an interaction-free AR assembly assistance and monitoring system. Assembly behavior recognition and assembly completeness inspection methods are integrated to monitor the assembly state. A sequential hybrid AR display control strategy is proposed to contextually update the AR contents. A synchronous multi-channel AR view output strategy is proposed to fulfill different visualization needs.

Marking and inspecting are key steps in hull structure construction. However, currently most marking and inspecting operations are still carried out manually, which leads to low assembly efficiency and quality. This paper aims to solve these problems through the application of digital technology: the optical projection and machine vision.

First, the assembly process model of hull construction is established in 3D design environment. Second, the process information is presented to workers in a virtual form through optical projector, which provides accurate guidance for the manual operation. On this basis, the workers can complete welding and assembly operations readily. Finally, the machine vision method is used to check the assembly results, which can decrease the subjective errors.

A rapid and accurate assembly positioning for hull structure construction is realized based on optical projection, which can avoid the pollution caused by the marking machine and the error caused by human.

This paper combines the advantages of optical projection and machine vision to the field of shipbuilding. The shortcomings of the traditional marking and inspection methods is effectively solved, which may provide a new way for enhancing the assembly efficiency and quality.

This study aims to monitor and guide the assembly process. The operators need to change the assembly process according to the products’ specifications during manual assembly of mass customized production. Traditional information inquiry and display methods, such as manual lookup of assembly drawings or electronic manuals, are inefficient and error-prone.

This paper proposes a projection-based augmented reality system (PBARS) for assembly guidance and monitoring. The system includes a projection method based on viewpoint tracking, in which the position of the operator’s head is tracked and the projection images are changed correspondingly. The assembly monitoring phase applies a method for parts recognition. First, the pixel local binary pattern (PX-LBP) operator is achieved by merging the classical LBP operator with the pixel classification process. Afterward, the PX-LBP features of the depth images are extracted and the randomized decision forests classifier is used to get the pixel classification prediction image (PCPI). Parts recognition and assembly monitoring is performed by PCPI analysis.

The projection image changes with the viewpoint of the human body, hence the operators always perceive the three-dimensional guiding scene from different viewpoints, improving the human-computer interaction. Part recognition and assembly monitoring were achieved by comparing the PCPIs, in which missing and erroneous assembly can be detected online.

This paper designed the PBARS to monitor and guide the assembly process simultaneously, with potential applications in mass customized production. The parts recognition and assembly monitoring based on pixels classification provides a novel method for assembly monitoring.

This paper aims to present a one-shot gesture recognition approach which can be a high-efficient communication channel in human–robot collaboration systems.

This paper applies dynamic time warping (DTW) to align two gesture sequences in temporal domain with a novel frame-wise distance measure which matches local features in spatial domain. Furthermore, a novel and robust bidirectional attention region extraction method is proposed to retain information in both movement and hold phase of a gesture.

The proposed approach is capable of providing efficient one-shot gesture recognition without elaborately designed features. The experiments on a social robot (JiaJia) demonstrate that the proposed approach can be used in a human–robot collaboration system flexibly.

According to previous literature, there are no similar solutions that can achieve an efficient gesture recognition with simple local feature descriptor and combine the advantages of local features with DTW.

This paper aims to explore and demonstrate how the meme of aspiration can help guide human cultures through an epochal transformation triggered by a global megacrisis and leading to sustainable maturation of human cultures.

Aspirational futures process, intuition-based visioning and “Type II” thinking that has high credibility for knowledgeable experts but low credibility to most others.

Megacrisis is a Type II wild card needing anticipatory mitigation via strategies such as are suggested. While descent paths may be a suitable meme for technical professionals, ascent paths to higher levels of civilizational maturity are a better guiding image for the public. Aspirational methods whose core involves intuition-based creativity, wisdom and co-creative emergence are a vital complement to rational/analytic futures methods, especially in times of epochal change and uncertainty when a new “regime” of guiding world views, institutional processes and innovative technologies may emerge.

Results represent a high degree of uncertainly as well as “fringe” thinking needing to be more widely considered.

Strategic suggestions based on Type II thinking are a unique category for “leading edge” funding and application.

The Type II perspective offered here is unique and offers a promising approach for transformative megacrisis mitigation.

Wonders whether companies actually have employees best interests at heart across physical, mental and spiritual spheres. Posits that most organizations ignore their workforce – not even, in many cases, describing workers as assets! Describes many studies to back up this claim in theis work based on the 2002 Employment Research Unit Annual Conference, in Cardiff, Wales.

Authenticity and sustainability seem to be unlinked concepts. While sustainability refers to the ability of ecosystems to endure and to flourish, authenticity refers to the ability of the human person to develop its “true” or real self. Some will say that nature as a complex, self-directed evolutionary bio-system remains indifferent to the subjectivity and self-interest of human beings. But the modern search for authenticity is one of the causes of the decreasing sustainability of our ecosystem.

The chapter first explores how the modern concepts of the self and the world have disconnected the human subject from nature. The Cartesian disconnection of human subject from nature made it possible not only to transform nature into a semi-mechanical system but also to consider the self as a rational and autonomous being. Hence, realizing the self and being authentic in the Cartesian context meant becoming independent from and master of nature.

The chapter presents the life and philosophy of Albert Schweitzer as a new experience-based foundation for ethics and found it in the principle of “Reverence for life” (Ehrfurcht vordem Leben) conceived as an unconditional and inclusive respect for life in all its manifestations. Schweitzer’s philosophy implies a new sense of authenticity no longer based on the modern ego-centric notion of autonomy but on the alter-centric notion of respect for life.

We argue that in order to address the contemporary challenges that organizations and societies are facing, the field of organization development (OD) requires frameworks and skills to focus on the eco-system as the level of analysis. In a world that has become economically, socially, and technologically highly connected, approaches that foster the optimization of specific actors in the eco-system, such as individual corporations, result in sub-optimization of the sustainability of the natural and social system because there is insufficient offset to the ego-centric purposes of the focal organization. We discuss the need for OD to broaden focus to deal with technological advances that enable new ways of organizing at the eco-system level, and to deal with the challenges to sustainable development. Case examples from healthcare and the agri-foods industry illustrate the kinds of development approaches that are required for the development of healthy eco-systems. We do not suggest fundamental changes in the identity of the field of organizational development. In fact, we demonstrate the need to dig deeply into the open systems and socio-technical roots of the field, and to translate the traditional values and approaches of OD to continue to be relevant in today’s dynamic interdependent world.

To adapt the segway RMP, a dynamically balancing robot base, to build robots capable of playing soccer autonomously.

Focuses on the electro‐mechanical mechanisms required to make the Segway RMP autonomous, sensitive, and able to control a football.

Finds that turning a Segway RMP into a soccer‐playing robot requires a combined approach to the mechanics, electronics and software control.

Although software algorithms necessary for autonomous operation and infrastructure supplying logging and debugging facilities have been developed, the scenario of humans and robots playing soccer together has yet to be addressed.

Turning the model into a soccer playing robot demonstrates the technique of combining mechanics, electronics and software control.

Shows how the model as a base platform can be developed into a fully functional, autonomous, soccer‐playing robot.

This chapter examines the case studies in this volume with a focus on concepts and methods used in the study of multi-organization networks and partnerships, motivations to join in multi-party collaboration, how multi-organization collaborations organized and managed, what kinds of value are created by collaborations, and the role of leadership therein.

A comparative look at four vertical networks (in health care and education); two “issue” networks/partnerships (sustainable seafood and water use); and the roles of government in collaboration in horizontal, vertical, and issue-based arrangements.

The chapter describes “lessons” learned about building both sustainability and collaborative capabilities in and across partnering organizations and about improving partnership structures, processes, and results.

The chapter sums and synthesizes the volume’s contributions.