Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications

Advancing automation and robotics technology for the Space Station Freedom and for the US economy

The progress made by levels 1, 2, and 3 of the Office of Space Station in developing and applying advanced automation and robotics technology is described. Emphasis is placed upon the Space Station Freedom Program responses to specific recommendations made in the Advanced Technology Advisory Committee (ATAC) progress report 10, the flight telerobotic servicer, and the Advanced Development Program. Assessments are presented for these and other areas as they apply to the advancement of automation and robotics technology for the Space Station Freedom

Flexible human-robot cooperation models for assisted shop-floor tasks

The Industry 4.0 paradigm emphasizes the crucial benefits that collaborative robots, i.e., robots able to work alongside and together with humans, could bring to the whole production process. In this context, an enabling technology yet unreached is the design of flexible robots able to deal at all levels with humans' intrinsic variability, which is not only a necessary element for a comfortable working experience for the person but also a precious capability for efficiently dealing with unexpected events. In this paper, a sensing, representation, planning and control architecture for flexible human-robot cooperation, referred to as FlexHRC, is proposed. FlexHRC relies on wearable sensors for human action recognition, AND/OR graphs for the representation of and reasoning upon cooperation models, and a Task Priority framework to decouple action planning from robot motion planning and control.Comment: Submitted to Mechatronics (Elsevier

A Concept for User-Centered Delegation of Abstract High-Level Tasks to Cobots for Flexible Lot Sizes

Technical advances in collaborative robots (cobots) are making them increasingly attractive to companies. However, many human operators are not trained to program complex machines. Instead, humans are used to communicating with each other on a task-based level rather than through specific instructions, as is common with machines. The gap between low-level instruction-based and high-level task-based communication leads to low values for usability scores of teach pendant programming. As a solution, we propose a task-based interaction concept that allows human operators to delegate a complex task to a machine without programming by specifying a task via triplets. The concept is based on task decomposition and a reasoning system using a cognitive architecture. The approach is evaluated in an industrial use case where mineral cast basins have to be sanded by a cobot in a crafts enterprise

A voyage to Mars: A challenge to collaboration between man and machines

A speech addressing the design of man machine systems for exploration of space beyond Earth orbit from the human factors perspective is presented. Concerns relative to the design of automated and intelligent systems for the NASA Space Exploration Initiative (SEI) missions are largely based on experiences with integrating humans and comparable systems in aviation. The history, present status, and future prospect, of human factors in machine design are discussed in relation to a manned voyage to Mars. Three different cases for design philosophy are presented. The use of simulation is discussed. Recommendations for required research are given

A socio-technical approach for assistants in human-robot collaboration in industry 4.0

The introduction of technologies disruptive of Industry 4.0 in the workplace integrated through human cyber-physical systems causes operators to face new challenges. These are reflected in the increased demands presented in the operator's capabilities physical, sensory, and cognitive demands. In this research, cognitive demands are the most interesting. In this perspective, assistants are presented as a possible solution, not as a tool but as a set of functions that amplify human capabilities, such as exoskeletons, collaborative robots for physical capabilities, virtual and augmented reality for sensory capabilities. Perhaps chatbots and softbots for cognitive capabilities, then the need arises to ask ourselves: How can operator assistance systems 4.0 be developed in the context of industrial manufacturing? In which capacities does the operator need more assistance? From the current paradigm of systematization, different approaches are used within the context of the workspace in industry 4.0. Thus, the functional resonance analysis method (FRAM) is used to model the workspace from the sociotechnical system approach, where the relationships between the components are the most important among the functions to be developed by the human-robot team. With the use of simulators for both robots and robotic systems, the behavior of the variability of the human-robot team is analyzed. Furthermore, from the perspective of cognitive systems engineering, the workspace can be studied as a joint cognitive system, where cognition is understood as distributed, in a symbiotic relationship between the human and technological agents. The implementation of a case study as a human-robot collaborative workspace allows evaluating the performance of the human-robot team, the impact on the operator's cognitive abilities, and the level of collaboration achieved in the human-robot team through a set of metrics and proven methods in other areas, such as cognitive systems engineering, human-machine interaction, and ergonomics. We conclude by discussing the findings and outlook regarding future research questions and possible developments.La introducción de tecnologías disruptivas de Industria 4.0 en el lugar de trabajo integradas a través de sistemas ciberfísicos humanos hace que los operadores enfrenten nuevos desafíos. Estos se reflejan en el aumento de las demandas presentadas en las capacidades físicas, sensoriales y cognitivas del operador. En esta investigación, las demandas cognitivas son las más interesantes. En esta perspectiva, los asistentes se presentan como una posible solución, no como una herramienta sino como un conjunto de funciones que amplifican las capacidades humanas, como exoesqueletos, robots colaborativos para capacidades físicas, realidad virtual y aumentada para capacidades sensoriales. Quizás chatbots y softbots para capacidades cognitivas, entonces surge la necesidad de preguntarnos: ¿Cómo se pueden desarrollar los sistemas de asistencia al operador 4.0 en el contexto de la fabricación industrial? ¿En qué capacidades el operador necesita más asistencia? A partir del paradigma actual de sistematización, se utilizan diferentes enfoques dentro del contexto del espacio de trabajo en la industria 4.0. Así, se utiliza el método de análisis de resonancia funcional (FRAM) para modelar el espacio de trabajo desde el enfoque del sistema sociotécnico, donde las relaciones entre los componentes son las más importantes entre las funciones a desarrollar por el equipo humano-robot. Con el uso de simuladores tanto para robots como para sistemas robóticos se analiza el comportamiento de la variabilidad del equipo humano-robot. Además, desde la perspectiva de la ingeniería de sistemas cognitivos, el espacio de trabajo puede ser estudiado como un sistema cognitivo conjunto, donde la cognición se entiende distribuida, en una relación simbiótica entre los agentes humanos y tecnológicos. La implementación de un caso de estudio como un espacio de trabajo colaborativo humano-robot permite evaluar el desempeño del equipo humano-robot, el impacto en las habilidades cognitivas del operador y el nivel de colaboración alcanzado en el equipo humano-robot a través de un conjunto de métricas y métodos probados en otras áreas, como la ingeniería de sistemas cognitivos, la interacción hombre-máquina y la ergonomía. Concluimos discutiendo los hallazgos y las perspectivas con respecto a futuras preguntas de investigación y posibles desarrollos.Postprint (published version