Robotics and autonomous systems

Available (214)

Showing 157 - 168 per page



Medical electrical equipment — Part 4-1: Guidance and interpretation — Medical electrical equipment and medical electrical systems employing a degree of autonomy

IEC TR 60601-4-1:2017(E) is intended to help a manufacturer through the key decisions and steps to be taken to perform a detailed risk management and usability engineering processes for medical electrical equipment or a medical electrical system, hereafter referred to as MEE or MES, employing a degree of autonomy (DOA). This document provides a definition of DOA of MEE or MES and a medical robot, and also provides guidance on: - methodologies to perform the risk management process and usability engineering for an MEE or MES with a DOA; - considerations of basic safety and essential performance for an MEE and MES with a DOA; and - identifying the use of DOA, and similar concepts in existing ISO/IEC standards dealing with MEE or MES with the goal to facilitate alignment of standards by consistent use of the concept of DOA; and - distinguishing between medical robots, and other MEE and MES. Unless specified otherwise, this document considers MEE and MES together. The manufacturer of an MEE or MES with a DOA is expected to design and manufacture an MEE or MES that fulfils its intended use and does not have unacceptable risk throughout its life-cycle. This document provides guidance to help the manufacturer in complying with the requirements of IEC 60601-1:2005 and IEC 60601-1:2005/AMD1:2012 for MEE and MES with DOA. The document is also intended as guidance for future standard writers. There are no prerequisites to this document.

IEC/TR 60601-4-1:2017

Robotics — Application of ISO 13482 — Part 1: Safety-related test methods

This document describes methods that can be used to test personal care robots in terms of safety requirements defined in ISO 13482. The target robots of this document are identical to those of ISO 13482.The manufacturer determines the required tests and appropriate testing parameters based on a risk assessment of the robot's design and usage. This risk assessment can determine that tests and test parameters other than those contained in this document are acceptable.Not all test methods are applicable to all robot types. Test methods labelled "universal" are applicable to all personal care robots. For other tests, the heading states for which robot types the test can be applied (e.g. "for wearable robot" or "for mobile robot").Some test methods can be replaced by using other applicable standards, even if they are not listed in this document.

ISO/TR 23482-1:2020

Robotics — Application of ISO 13482 — Part 2: Application guidelines

This document provides guidance on the use of ISO 13482 and is intended to facilitate the design of personal care robots in conformity with ISO 13482. Additional guidance is provided for users with limited experience of risk assessment and risk reduction. This document provides clarification and guidance on new terms and safety requirements introduced to allow close human-robot interaction and human-robot contact in personal care robot applications, including mobile servant robots, physical assistant robots and person carrier robots. This document considers the application of ISO 13482 to all service robots and includes related examples.

ISO/TR 23482-2:2019

TR-436 Access & Home Network O&M Automation/Intelligence

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.

BroadBand Forum TR-436

Core Network and Interoperability Testing (INT/WG AFI); Federated GANA Knowledge Planes (KPs) for Multi-Domain Autonomic Management & Control (AMC) of Slices in the NGMN® 5G End-to-End Architecture Framework

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

ETSI TR 103 747

ETSI GANA as Multi-Layer Artificial Intelligence (AI) Framework for Implementing AI Models for Autonomic Management & Control (AMC) of Networks and Services; and Intent-Based Networking (IBN) via GANA Knowledge Planes (KPs)

Provides insights on ETSI GANA Knowledge Planes (KPs) Driven Networking in Autonomic/Autonomous Networking (ANs) for Networks that exhibit features such as self-* operations such as self-adaptation, self-optimization, self-monitoring, self-protection and self-defense objectives for the network and services; Establishes relationships between Autonomics, Cognition and Autonomous Network Behaviour; Standardization in this area of ANs.

ETSI 5G PoC White Paper No. 4

IEEE INGR (International Network Generations Roadmap)/Future Networks, Standardization Building Blocks (SBB) Roadmap Chapter

Discusses Standards Roadmaps for Future Networks, including 5G/6G, as well as in the area of Autonomic/Autonomous Networking (ANs) Standards. The Emerging Industry Requirement for Standardization of a Blueprint for Common Operational Principles for Autonomic/Autonomous Networks (COPAAN) is presented in relation to the Autonomic/Autonomous Networking (ANs) paradigm. The connection of COPAAN and Robotics is illustrated.

IEEE NGR (International Network Generations Roadmap) 2022 EDITION