This recommended practice outlines best practices and requirements for the development of designs of human-subject experiments in human-robot interaction research.
This standard provides a listing of desirable traits of robotic systems under the umbrella of agility - a compound notion of reconfigurability and autonomy as opposed to the typical robotic use of rigid pre-programmed tasks. In particular, it describes a set of quantitative test methods and metrics for assessing the following ten aspects: hardware reconfigurability, software reconfigurability, communications, task representation, sensing, reasoning, perception, planning, tasking, and execution.
A Strategic and technically oriented document in which describes the current development status of Industrie 4.0, outlines the requirements for standards, specifications and industry standards, and provides impetus for successful implementation.
VDE-AR-E 2842-61-1 specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e.g. production, marketing & sales, operation & maintenance, retirement & repair). It defines a reference lifecycle in analogy to the most important standards for functional safety (i.e. IEC 61508) as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence.
The purpose of this protocol is to validate suitability of 3D sensors, particularly LiDAR scanners, for improving the skill “Maintain Safe Distance” in advanced Speed and Separation Monitoring (SSM) cobot applications . Besides the sensors’ technical characteristics, the data processing, and decision-making abilities of an associated intelligent control system (ICS) are the subject of validation. Such ICS periodically acquires of a COBOT and an operator, eventually predicts their positions in a the positions near future, and adjusts the COBOT’s velocity to keep their mutual distance above the accordingly updated protective separation distance (PSD). The validation test checks with assistance of a high-speed high-resolution camera whether the ICS implements the SSM functionality successfully to prevent collisions between the robot and the operator in a systematically chosen repertoire of collaborative situations identified as potentially hazardous in the risk assessment. This protocol was developed in the COVR funded FSTP project “CobotSense” by FOKUS TECH, the Maribor, and FANUC ADRIA, and was published as a deliverable for that project.
This document gives guidance for measuring forces and pressures in human-robot collision. It summarizes the findings of a research projects and supports the interpretation of results from such measurements.
As part of Autonomic/Autonomous Networks (ANs) paradigm, the document presents a Framework for intelligent and automated O&M for Access & Home networks, whichincludes: 1) Automatically identify typical anomalies and faults in Access & Home network based on Machine Learning (ML), Artificial Intelligence (AI) algorithms and expert experience, realize rapid troubleshooting, and thus reduce invalid on-site and sporadic issues. 2) Perform predictive analysis based on ML and AI to achieve preventive O&M and self-healing in case of failure.
As part of the growing area of Autonomic/Autonomous Networks (ANs), the document covers the subject of Federated GANA Knowledge Planes (KPs) Platforms for E2E Multi-Domain Federated Autonomic Management and Control (AMC) of 5G Network Slices in NGMN® E2E 5G Architecture