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In the running of multiple automated guided vehicles (AGVs) in warehouses, delay problems in motions happen unavoidably as there might exist some disabled components of robots, the instability of networks and the interference of people walking. Under this case, robots would not follow the designed paths and the coupled relationship between temporal and space domain for paths is broken. And there is no doubt that other robots are disturbed by the ones where delays happen. Finally, this brings about chaos or even breakdown of the whole system. Therefore, taking the delay disturbance into consideration in the path planning of multiple robots is an issue worthy of attention and research.

This paper proposes a prioritized path planning algorithm based on time windows to solve the delay problems of multiple AGVs. The architecture is a unity consisting of three components which are focused on scheduling AGVs under normal operations, delays of AGVs, and recovery of AGVs. In the components of scheduling AGVs under normal operations and recovery, this paper adopts a dynamic routing method based on time windows to ensure the coordination of multiple AGVs and efficient completion of tasks. In the component for scheduling AGVs under delays, a dynamical prioritized local path planning algorithm based on time windows is designed to solve delay problems. The introduced planning principle of time windows would enable the algorithm to plan new solutions of trajectories for multiple AGVs, which could lower the makespan. At the same time, the real-time performance is acceptable based on the planning principle which stipulates the parameters of local time windows to ensure that the computation of the designed algorithm would not be too large.

The simulation results demonstrate that the proposed algorithm is more efficient than the state-of-the-art method based on homotopy classes, which aims at solving the delay problems. What is more, it is validated that the proposed algorithm can achieve the acceptable real-time performance for the scheduling in warehousing applications.

By introducing the planning principle and generating delay space and local adjustable paths, the proposed algorithm in this paper can not only solve the delay problems in real time, but also lower the makespan compared with the previous method. The designed algorithm guarantees the scheduling of multiple AGVs with delay disturbance and enhances the robustness of the scheduling algorithm in multi-AGV system.

Interprofessional collaboration (IPC) is increasingly important in work and workplace learning. The purpose of this paper is to investigate the characteristics of IPC that are relevant for learning and developing at work.

We examine IPC in the discussion data of health care professionals when designing, implementing and evaluating developmental tasks. Qualitative content analysis is carried out on temporally sequential task trajectories, considering IPC from the perspective of the objects and goals of IPC task activity in developmental efforts.

The developmentally relevant characteristics of IPC are crystallized in the concepts of coordination, co-creation and community building, which play different, interdependent roles in development efforts. We show their interplay and how they complement each other in practice.

Our findings regarding IPC characteristics are to be interpreted as working hypotheses and resources for further research.

Understanding the dynamics of IPC is useful for renewing work practices. Attention to the interplay and complementarity of IPC characteristics may help in the design and implementation of effective and sustained development efforts.

The dynamics of IPC in developmental settings have not been sufficiently studied. This paper proposes three developmentally relevant and intertwined characteristics of IPC for scholars of workplace learning.

A well-coordinated public sector is often considered to be of major importance, but at the same time it appears to be a huge challenge. Public sector reforms struggling with the coordination conundrum are numerous and countries display a certain dynamic in their adoption of coordination instruments throughout time. On the one hand, it is sensible to presume that – to a certain extent – countries are stimulated to adopt similar coordination instruments, because of isomorphic processes induced by factors such as the spread of the new public management line of thought or the multiplication of exchanges of good practices at an international level. On the other hand, culture-linked elements might have an important role to play in explaining idiosyncrasies. By examining the conceptual link between coordination and culture through an empirical analysis for four counties (UK, New Zealand, France, and Sweden), it is the aim of this chapter to explore the relevance of culture for understanding coordination trajectories of individual countries.

This paper aims to explore the influence of collective orientation (CO) on coordination and team performance for interdependently working teams while controlling for person-related and team variables.

A total of 58 two-person-teams participated in a simulation-based firefighting task. The laboratory study took 2 h for each team. The effects of CO in tasks of increasing complexity were investigated under the consideration of control variables, and the relations between CO, coordination and team performance were assessed using a multivariate latent growth curve modeling approach and by estimating indirect effects in simple mediation models.

Team members high on CO performed significantly better than low-scoring members. The effect of CO on team performance was independent from an increasing task complexity, whereas the effect of CO on coordination was not. The effect of CO on team performance was mediated by coordination within the team, and the positive relation between CO and performance persists when including group efficacy into the model.

As CO is a modifiable person-related variable and important for effective team processes, additional research on factors influencing this attitude during work is assumed to be valuable.

CO is especially important for highly interdependently working teams in high-risk-organizations such as the fire service or nuclear power plants, where errors lead to severe consequences for human beings or the environment.

No other studies showed the importance of CO for coordination and team performance while considering teamwork-relevant variables and the interdependence of work.

The purpose of this paper is to develop an analytic framework for studying interdisciplinary learning in collaboration between schools and child support services. The analytic framework connects the concept of boundary crossing with the social–psychological processes of trust and identity formation.

The paper is written from a theoretical point of view. Empirical research data from two schools are used to illustrate the use and merit of the proposed framework.

The framework proved to be useful for identifying the level of co-work in the two schools. In addition, the framework helped to shed light on how the support for trust and identity formation by the school management aids interdisciplinary learning.

The most essential feature of the suggested framework is its use of complex theoretical concepts. Examining each concept in detail would ignore the interconnected nature of concepts in the framework, as well as the fact that it is not yet known how this interconnectedness works. Therefore, the framework is based on a generalised use of the concepts.

The contribution of the framework for practice lies in its potential to shed light on how processes in interdisciplinary collaboration can be shaped. The framework can be used to inform contextual interventions that seek to optimize collaborative structures.

The paper contributes to understanding the complex processes that constitute interdisciplinary learning in collaboration.

The purpose of this mainly conceptual paper is to analyze key changes in the institutional setting for standardization and to discuss what they indicate about further developments of the mobile sector. The intention is that this conceptual analysis will complement and contextualize the analysis of Nordic players found in the other papers of this special issue.

The paper is concerned with issues of industrial organization. The paper presents a treatment of industrial dynamics in them mobile telecom sector and the changing role of standards in it. We approach the substantial changes in the mobile telecom sector, focusing on the correspondence of the changes in the standards system to overall industry dynamics. Empirical information from the Symbian case is used to illustrate the hypothesis of standardization process and of the industry at large.

The paper identifies changing patters in the organization of technological standardization which represents a microcosm of the larger reorganization of the sector. Nordic actors, whose present position owes much to success in linking capabilities to sequential mobile standards. The paper draws out implications of the limits to “intergenerational leveraging” in standards.

The major contribution of the paper is to focus on changes in the organization of the standardization process in order to discuss the industrial dynamics of an industry which is undergoing a period of rapid change. Its reference to industrial dynamics perspective allows it to link the literature on dominant design to the field of standards research.

This paper seeks to explore arguments for the importance of disruptive innovation to China's low‐carbon transition, while such innovation is generally overlooked and/or belittled.

The paper builds on the multi‐level perspective (MLP) of systems transitions being developed by interdisciplinary scholars regarding low‐carbon innovation to explore the multiple opportunities regarding disruptive innovation in the case of China.

This exploration details that at the levels of business strategy, national economic development and governance of a transition to ecological sustainability, there is a strong prima facie case that disruptive innovation offers singular opportunities in China regarding low‐carbon innovation, while a focus on hi‐tech innovation alone is unlikely to effect the radical systems transition needed.

Acknowledging and incorporating such opportunities is thus to be encouraged, both in China and elsewhere, including in the formulation of low‐carbon innovation policy. A concerted research programme for ongoing and iterative “second‐order” learning about concrete examples of disruptive low‐carbon innovation is advocated.

The increased opportunities for dispersed social involvement in a low‐carbon transition through disruptive innovation are discussed.

The paper offers a novel synthesis of diverse literatures to advocate a significantly different approach to low‐carbon innovation than is evidenced in current policy and policy discourse.

This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

The purpose of this paper is to compare the impact of two social investment strategies (labour activation and governance coordination) targeted to social assistance clients within three different welfare-system coordination cases, with focus on social and economic inclusion.

The authors focus on the impact of reform at micro (individually experienced impact), meso (impact across settings) and macro (socio-structural impact) levels.

While social investment reform has given some clients new opportunities, in no study case were clients fully able to use the incentive-driven strategies. Reforms have led to a “Matthew effect”: the better resourced reap the largest benefit from new services on offer while the less resourced have their marginal socioeconomic position reinforced. Clients may internalise their relative activation success. Intimate connections between macro- and micro-impacts may have heightened the sense of social and economic exclusion, stigma and shame experienced by those who are most vulnerable.

Social investment reform (labour activation) may not be a model that reduces social and economic exclusion and it may, instead, reify socioeconomic marginalisation, enhancing sense of stigma and shame and reducing self-efficacy.

Scholars have assessed social investment according to its economic performance, but there has been a lack of research considering impact of reform on socioeconomic inclusion.

Advanced information technologies, and particularly big data, provide new affordances to facilitate inter-organizational collaboration. Rich flows of real-time data provide transparency across organizational boundaries and enable greater automation of inter-organizational routines. Taking stock of the literature and building on observations from the research in an industrial setting, the authors introduce the concept of technological embeddedness as an important characteristic of inter-organizational relationships, denoting the degree of monitoring, control, and optimization of intra- and inter-organizational tasks accomplished through technology at the interface of the inter-organizational relationship. The authors theorize how increasing technological embeddedness created by big data technologies affects the development of inter-organizational trust, mutual adaptation, and temporal structuring of collaboration. The propositions elaborate how greater technological embeddedness enables collaboration, and warn about the potential limiting effects of technological embeddedness on the development of interpersonal trust, strategic learning, and long-term orientation.