Robotics and autonomous systems

The specific purpose of this protocol is to validate the safety skill “limit interaction energy” by measurement. Its scope is limited to robot arms operating in the domain Manufacturing. In this context, the skill “limit interaction energy” is often used to protect workers from injuries caused by robot collisions where the robot traps a part of the human body against a fixed obstacle. The validation of this protocol requires that the reader has a bio-fidel force and pressure measurement device available. The instrument must allow for measuring the pressure history during the collision.

The purpose of this protocol is to verify the ability of the robotic system to limit its movements in 3D space. In this version of the protocol, it is checked that the robot, with all its segments and end effector, does not pass beyond a vertical plane placed in the robotic cell. The validation test is performed using a moving frame representing the vertical plane or part of it.

The purpose of this protocol is to validate the safety skill “limit range of movement” for rehabilitation robots, where a limb of a subject has a connection point with the robot (either free or restrained) and the robot can move that point within a 3D volume. The range of motion is assessed using opto-electronic 3D marker tracking.

The specific purpose of this protocol is to validate the safety skill “limit interaction energy” by measurement for robotic grippers. In this context, the skill “limit interaction energy” is commonly used to protect workers from injuries caused by clamping and squeezing of body parts by the closing gripper. The validation of this protocol requires that the reader has a bio-fidelic measurement instrument available to measure contact forces and pressures.

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.

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.

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.

The purpose of this protocol is to validate the safety skill “maintain safe distance” for hand-guided robots, eventually equipped with tracking technologies and collision avoidance controllers, where a limb of a subject has a free connection point with the robot and the robot can move that point within a 3D volume while preventing collision with the operator’s limbs. The minimum distance between robot internal links and subject limbs during operation must be ensured. This is validated using an instrumented limb attached to the robot end effector and a sensor system mounted on the robot.

This protocol is to be used to test the restraining energy that can be applied to a human subject during use of an exoskeleton used for gait support using an instrumented limb used in the medical domain as well as at . This protocol is both aimed at exoskeletons exoskeletons used in the industrial, logistics or agricultural domain Readiness Level Description .

The specific purpose of this protocol is to validate the safety skill “limit interaction energy” by measurement. Its scope is limited to robot arms operating in the domain Manufacturing. In this context, the skill “limit inter-action energy” is often used to protect workers from injuries caused by robot collisions where the robot traps a part of the human body against a fixed obstacle. The validation of this protocol requires that the reader has a bio-fidel force and pressure measurement device available. The instrument must allow for measuring the highest pressure during the collision.

The specific purpose of this protocol is to validate the safety skill “limit interaction energy” by measurement. Its scope is limited to robot arms operating in the domain Manufacturing. In this context, the skill “limit interaction energy” is often used to protect workers from injuries caused by robot collisions where the robot hits a part of the human body that can freely move. The validation of this protocol requires that the reader has a bio-fidel force and pressure measurement device available. The instrument must allow for measuring the highest pressure during the collision.