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This paper aims to provide a review of the uses of gas sensors to detect explosives' vapours and chemical warfare agents (CWAs).

Following a brief introduction, this paper first considers the use of gas sensors to detect explosives. Second, gas sensors that respond to CWAs are discussed. Some mentioned is made of commercial devices but the emphasis is on emerging technologies and recent research.

Detecting explosives is an emerging application for gas sensors. Despite some commercial products, it is the topic of a major research effort and poses a significant technological challenge due to the very low vapour concentrations involved. Many optical and solid‐state techniques are under development and some have shown ppt levels of resolution to TNT and allied compounds. Detecting CWAs is a far more mature application and many products exist, often based on analytical methods. Nevertheless, research into improved sensing techniques continues, frequently aimed at detecting ppb concentrations of nerve agents. Much of this research is aimed at meeting the needs of, and is being funded by, the US military and security agencies.

This paper provides a technical review of recent developments in the use of gas sensors to detect explosives and CWAs.

An experimental teleoperation system for space robotics has been developed. The purpose of using this system is the development of space robot teleoperation technologies which can replace the skills of an astronaut. Communication time delay is one of the biggest problems encountered by teleoperation of a space robot from the ground. To solve the time delay, we proposed a mixed force and motion command‐based space robot teleoperation system that is a model‐based teleoperation. Moreover, we have also developed a compact six‐DOF haptic interface as a master device. The effectiveness of our model‐based teleoperation technologies was verified by carrying out some tasks in a real space robotic system: the Engineering Test Satellite VII (ETS‐VII).

The purpose of this paper is to propose a new algorithm based on programming by demonstration and exception strategies to solve assembly tasks such as peg-in-hole.

Data describing the demonstrated tasks are obtained by kinesthetic guiding. The demonstrated trajectories are transferred to new robot workspaces using three-dimensional (3D) vision. Noise introduced by vision when transferring the task to a new configuration could cause the execution to fail, but such problems are resolved through exception strategies.

This paper demonstrated that the proposed approach combined with exception strategies outperforms traditional approaches for robot-based assembly. Experimental evaluation was carried out on Cranfield Benchmark, which constitutes a standardized assembly task in robotics. This paper also performed statistical evaluation based on experiments carried out on two different robotic platforms.

The developed framework can have an important impact for robot assembly processes, which are among the most important applications of industrial robots. Our future plans involve implementation of our framework in a commercially available robot controller.

This paper proposes a new approach to the robot assembly based on the Learning by Demonstration (LbD) paradigm. The proposed framework enables to quickly program new assembly tasks without the need for detailed analysis of the geometric and dynamic characteristics of workpieces involved in the assembly task. The algorithm provides an effective disturbance rejection, improved stability and increased overall performance. The proposed exception strategies increase the success rate of the algorithm when the task is transferred to new areas of the workspace, where it is necessary to deal with vision noise and altered dynamic characteristics of the task.

A deteriorating security situation and an increased need for defence equipment calls for new forms of collaboration between Armed Forces and the defence industry. This paper aims to investigate the ways in which the accelerating demand for increased security of supply of equipment and supplies to the Armed Forces requires adaptability in the procurement process that is governed by laws on public procurement (PP).

This paper is based on a review of current literature as well as empirical data obtained through interviews with representatives from the Swedish Defence Materiel Administration and the Swedish defence industry.

Collaboration with the globalized defence industry requires new approaches, where the PP rules make procurement of a safe supply of defence equipment difficult.

The study's empirical data and findings are based on the Swedish context. In order to draw more general conclusions in a defence context, the study should be expanded to cover more nations.

The findings will enable the defence industry and the procurement authorizations to better understand the requirements of Armed Forces, and how to cooperate under applicable legal and regulatory requirements.

The paper extends the extant body of academic knowledge of the security of supply into the defence sector. It serves as a first step towards articulating a call for new approaches to collaboration in defence supply chains.

The purpose of this paper is to present a novel automatic planning and coordinated control method of redundant dual‐arm space robot for inner space‐station operation based on multiple sensors information by stages.

In order to improve the coordinated control capability of dual‐arm robot system, a four‐layer hierarchical control structure is designed based on the theory of centralization and decentralization. At the high‐level planning of dual‐arm system, a task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning. Finally, a 3D simulation and experiment of screwing nut and bolt are implemented on a dual‐arm robot system, and the feasibility and applicability of this control strategy are verified.

The automatic planning can be accomplished by means of sensors information by stages, and by this method, the autonomy and intelligence of dual‐arm space robot system can be further improved.

A new automatic planning strategy integrated with multiple sensors information by stages is proposed, and can be implemented on a dual‐arm robot system for inner space‐station operations. This method specializes in heterogeneous dual‐arm robot system.

A task decomposition strategy based on task knowledge and a task allocation strategy in terms of the robotic capability are proposed, respectively. Moreover, a control method by stages based on the information of multiple sensors is introduced to object recognition, task planning, path planning and trajectory planning of dual‐arm robot system.

This paper describes many sensors which are applicable to the requirements of the computer controlled assembly and manufacturing process. Various new types of sensors are presented including a multi‐degree of freedom force sensor using interchangeable modules, a pneumatic retractable whisker, an ultrasonic probe and various tactile and optical image sensors.

This technical paper aims to provide an overview of thin‐film force sensors, present discussions of various ways these force sensors are used in automated systems, and offer possibilities for future adaptations. Areas of interest are medicine, industry, and consumer products.

Current uses of thin‐film force sensors are presented based on existing prototypes and research. Current research serves as a springboard to identifying ideas for future research and development.

Regarding thin‐film force sensors, finds that, thanks to features of current force‐sensing technology, consumers can expect continued introduction of high‐quality and very realistic “feeling” systems.

Presents novel uses of force sensors and explores ideas for future research.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.

Each of the four objectives can be applied within the military training environment. Military training often requires that soldiers achieve specific levels of performance or proficiency in each phase of training. For example, training courses impose entrance and graduation criteria, and awards are given for excellence in military performance. Frequently, training devices, training media, and training evaluators or observers also directly support the need to diagnose performance strengths and weaknesses. Training measures may be used as indices of performance, and to indicate the need for additional or remedial training.