https://www.repository.cam.ac.uk/bitstream/1810/274265/5/1-s2.0-S0959652618301951-main.pdf

Intelligent Autonomous Vehicles in digital supply chains: A framework for integrating innovations towards sustainable value networks

During the past decades, the increasing need for more flexible and agile manufacturing equipment has spawned a growing interest in collaborative robots. Contrary to traditional industrial robots, collaborative robots are intended for operating alongside the production personnel in dynamic or semi-structured human environments. To cope with the environment and workflow of humans, new programming and control methods are needed compared to those of traditional industrial robots. This paper presents a task-level programming software tool allowing robotic novices to program industrial tasks on a collaborative robot. The tool called Skill Based System (SBS) is founded on the concept of robot skills, which are parameterizable and task-related actions of the robot. Task programming is conducted by first sequencing skills followed by an online parameterization performed using kinesthetic teaching. Through several user studies, SBS is found to enable robotic novices to program industrial tasks. SBS has further been deployed and tested in two manufacturing settings demonstrating its applicability in real industrial scenarios.

Skill Based Instruction of Collaborative Robots in Industrial Settings

Embodiments of the present invention provide navigation devices ( 10 ) and methods for receiving and/or forming geoblogs. The provided navigation devices ( 10 ) are generally operable to retrieve a geoblog utilizing the current geographic location of the device ( 10 ) and a user input, form a geoblog utilizing the current geographic location of the device ( 10 ) and selected pre-defined comment, and/or automatically title a geoblog utilizing a current geographic location of the device ( 10 ). Such configurations and variations thereof enable users to easily share information related to a geographic location.

Method and apparatus for utilizing geographic location information

The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

/pdf/ontologies-for-industry-4-0-2rqywly0oo.pdf

Ontologies for industry 4.0

Creating a standard for knowledge representation and reasoning in autonomous robotics is an urgent task if we consider recent advances in robotics as well as predictions about the insertion of robots in human daily life. Indeed, this will impact the way information is exchanged between multiple robots or between robots and humans and how they can all understand it without ambiguity. Indeed, Human Robot Interaction (HRI) represents the interaction of at least two cognition models (Human and Robot). Such interaction informs task composition, task assignment, communication, cooperation and coordination in a dynamic environment, requiring a flexible representation. Hence, this paper presents the IEEE RAS Autonomous Robotics (AuR) Study Group, which is a spin-off of the IEEE Ontologies for Robotics and Automation (ORA) Working Group, and and its ongoing work to develop the first IEEE-RAS ontology standard for autonomous robotics. In particular, this paper reports on the current version of the ontology for autonomous robotics as well as on its first implementation successfully validated for a human-robot interaction scenario, demonstrating the developed ontology's strengths which include semantic interoperability and capability to relate ontologies from different fields for knowledge sharing and interactions.

https://myresearchspace.uws.ac.uk/ws/files/10996612/2017_05_30_Olszewska_et_al_Ontology.pdf

Ontology for autonomous robotics

The working group Ontologies for Robotics and Automation, sponsored by the IEEE Robotics & Automation Society, recently proposed a Core Ontology for Robotics and Automation (CORA). This ontology was developed to provide an unambiguous definition of core notions of robotics and related topics. It is based on SUMO, a top-level ontology of general concepts, and on ISO 8373:2012 standard, developed by the ISO/TC184/SC2 Working Group, which defines-in natural language-important terms in the domain of Robotics and Automation (R&A). In this paper, we introduce a set of ontologies that complement CORA with notions such as industrial design and positioning. We also introduce updates to CORA in order to provide more ontologically sound representations of autonomy and of robot parts. HighlightsWe discuss extensions to a core ontology for the robotics and automation field.The ontology aims to specify the main notions across robotics subdomains.We define robot, robotic system, robotic environment, and related notions.We discuss concepts regarding the notion of design, in industrial contexts.We discuss notions regarding the modes of operation of a robot.We discuss notions regarding the position, orientation and pose of a robot.

/pdf/extensions-to-the-core-ontology-for-robotics-and-automation-1ac9suie5b.pdf

Extensions to the core ontology for robotics and automation

IEEE Standard Ontologies for Robotics and Automation

Geospatial Information System (GIS) is a tool for manipulating, integrating and displaying geographically referenced information. It is a powerful system with high accuracy that is being used as the main backbone for a variety of path planning and navigation technologies widely used in the industry today. Tracking, security management, fleet management and industrial robot navigation are some regular applications. This paper presents the development of a Geospatial information system for path planning and navigation of mobile objects. The system involves a GIS implemented using Google maps to visualize the routes of mobile objects acquired from GPS receivers over a GPRS network. A spatial database built into the system records the geographic information for later referencing. In addition, the GIS module is developed to perform route assignments and display historical information saved in the data repository.

Geospatial Information System for tracking and navigation of mobile objects

A systematic procedure for evaluating undergraduate students' project is presented. A mechatronics project is a synergistic fusion of various disciplines to design and develop a system and a set of specific requirements have to be established for each project component and the students' achievements are evaluated against these requirements. The project is assessed and evaluated in an industry-like scenario. During the project span of 12 weeks, the third-year Mechatronics students are assessed for the following skills: proposal writing, project management, technical document writing, presentation, group management, risk assessment and use of Gantt chart to track the project. The proposed procedure was tested on two batches of student cohorts and to two competitive projects, and found successful.

A procedural approach to assessing undergraduate students' project

Service robotics is becoming a leading application area of human-centered technologies, and the rise of household and personal assistance robots forecasts an utopist world of human--robot collaborative society. Along the road, one of the robotics community's major tasks is to work on the harmonization of trends, standardization of terms, interfaces and technologies. It is important to keep the scientific and social progress under control through sufficient public outreach and technology dissemination. Along those lines, the IEEE Robotics & Automation Society is sponsoring a working group entitled Ontologies for Robotics and Automation that will bridge cutting edge technology to users of the services---the general public. In this paper, the background of the project is presented, the definitions and examples of descriptive systems of relations are described, showing how ontologies can help to address the above challenges.

Veera Ragavan

Papers

Extensions to the core ontology for robotics and automation

IEEE Standard Ontologies for Robotics and Automation

Geospatial Information System for tracking and navigation of mobile objects

A procedural approach to assessing undergraduate students' project

Nesting the context for pervasive robotics