Robotics and autonomous systems

ISO 14118:2017 specifies requirements for designed-in means aimed at preventing unexpected machine start-up (see 3.2) to allow safe human interventions in danger zones (see Annex A).ISO 14118:2017 applies to unexpected start-up from all types of energy source, i.e.:- power supply, e.g. electrical, hydraulic, pneumatic. - stored energy due to, e.g. gravity, compressed springs. - external influences, e.g. from wind.ISO 14118:2017 does not specify performance levels or safety integrity levels for safety-related parts of control systems. While available means to prevent unexpected start-up are identified, this document does not specify the means for the prevention of unexpected machine start-up for specific machines.NOTE A type-C standard can define the required means for the prevention of harm arising from unexpected start-up. Otherwise, the requirements for a specific machine need to be determined by risk assessment outside the scope of this document.

This document defines terms used in relation to robotics.

ISO 9409-1:2004 defines the main dimensions, designation and marking for a circular plate as mechanical interface. It is intended to ensure the exchangeability and to keep the orientation of hand-mounted end effectors.It does not define other requirements of the end effector coupling device.It does not contain any correlation of load-carrying ranges, as it is expected that the appropriate interface is selected depending on the application and the load-carrying capacity of the robot.

This document covers the general description of benchmarking test piece geometries along with quantitative and qualitative measurements to be taken on the benchmarking test piece(s) to assess the performance of additive manufacturing (AM) systems.This performance assessment may serve the two following purposes:– AM system capability evaluation. – AM system calibration.The benchmarking test piece(s) is (are) primarily used to quantitatively assess the geometric performance of an AM system. This document describes a suite of test geometries, each designed to investigate one or more specific performance metrics and several example configurations of these geometries into test piece(s). It prescribes quantities and qualities of the test geometries to be measured but does not dictate specific measurement methods. Various user applications can require various grades of performance. This document discusses examples of feature configurations, as well as measurement uncertainty requirements, to demonstrate low and high grade examination and performance. This document does not discuss a specific procedure or machine settings for manufacturing a test piece, which are covered by ASTM F2971 and other relevant process specific specifications.

Defines a ubiquitous network robot platform, and to identify its requirements and functional model. The use of standard interfaces for the ubiquitous network robot platform will ensure network robot service reusability, portability across several network robot services, and network accessibility and interoperability by the ubiquitous sensor network (USN).

Provides cloud computing requirements for Robotics as a Service, which addresses requirements from use cases. Robotics as a Service (RaaS) is a cloud service category aimed at supporting the development of robotics applications and services in a cloud computing environment. On the perspective of cloud computing service provisioning, this Recommendation defines the requirements for RaaS to identify functionalities such as augmented intelligence sharing, integrated robotic control, automated machine learning, data pre-processing, etc.

Robot Network Fabric and Cobots in the Collection and assessment of proposed use cases for 6G, explore their implications for 6G R&D activities, and enlighten the way forward. It is the second deliverable in the NGMN Alliance 6G Project and follows from its publication of '6G Drivers and Vision' in April 2021.

Report points to ASTM Committee F48 Exoskeletons and Exosuits; ISO TC 299 Robotics; and IEEE Wearable Robots

Provides an Overview on Projects and Programs on COLLABORATIVE ROBOTS

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.

Collaborating robot systems can be used in thefunction "Power and Force Limiting" without the need for traditionallimiting" function without the need for traditionalsuch as fences and light curtains.come into play. Regarding the requirements of standards,regulations and ordinances, as well as the useof research results, there is a need for practicalpractical guidance for manufacturers,system integrators, operators, accident insurance institutionsand certification bodies.

The BG/BGIA recommendations for the risk assessment according to the machinery directive are published by the – German Institutions for Statutory Accident Insurance and – the Institute for Occupational Safety and Health (BGIA). Their objective is to provide companies an aid for the accident prevention related part of risk assessment. These BG/BGIA recommendations were drawn up in collaboration with the – Expert Committee for Machine Construction, Production Systems and Steel Construction of the Institution for Statutory Accident Insurance and Prevention Metall Nord Süd (Fachausschuss Maschinenbau, Fertigungssysteme, Stahlbau der Berufsgenossenschaft Metall Nord Süd).