A method for projecting safety-related monitoring for a multi-axis kinematic system with multiple movable segments. The method includes assigning multiple respective segment kinematic zones to in each case one or more segments of the multi-axis kinematic system, wherein the respective segment kinematic zones are formed by segment bounding volumes in dependence on the respective segments, providing respective movements of the respective segments in the Cartesian space, ascertaining for each segment spatial elements to be passed through as a result of the respective movements provided, determining for each segment respective overall bounding volumes as respective segment working zones on the basis of the ascertained spatial elements to be passed through, and providing the respective segment working zones for the projecting of a safety function of the safety-related monitoring.

A robot system and method for conditionally stopping a robot, wherein a maximum stopping time and/or distance are defined by a user or integrator through a user interface as safety limits based on the risk assessment. The method provides the continuous calculation of the time and/or distance, which the robot would need to stop under maximum motor torque and/or brake appliance. The robot is stopped or the speed of the robot is reduced, if the calculated time and/or distance exceeds the maximum limit values set by the user or integrator. The method may also be used to program or generate the trajectories of the robot as not to exceed the speed of the movement under the condition of keeping the set maximum stopping time and/or distance as defined by a use.

Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

Control systems for industrial machinery (e.g., robots) or other devices such as medical devices utilize a safety processor (SP) designed for integration into safety applications and computational components that are not necessarily safety-rated. The SP monitors performance of the non-safety computational components, including latency checks and verification of identical outputs. One or more sensors send data to the non-safety computational components for sophisticated processing and analysis that the SP cannot not perform, but the results of this processing are sent to the SP, which then generates safety-rated signals to the machinery or device being controlled by the SP. As a result, the system may qualify for a safety rating despite the ability to perform complex operations beyond the scope of safety-rated components.

A method for simulating a braking operation of a robot wherein a dynamic model of the robot is used to determine, for a given initial state of the robot, a final state range with a plurality of possible final states of the robot as a result of the simulated braking operation.

A method for the conditional stopping of at least one manipulator and a manipulator assembly. The manipulator travels along a path which has a stopping point. In order to be able to stop the manipulator at the stopping point, a braking point on the path is calculated as a function of a speed of the manipulator. If the status of a travel condition variable necessitates braking of the manipulator in the event of exceeding the braking point, the manipulator is braked.

Embodiments of the present invention provide automated robotic system identification and stopping time and distance estimation, significantly improving on existing ad-hoc methods of robotic system identification. Systems and methods in accordance herewith can be used by end users, system integrators, and the robot manufacturers to estimate the dynamic parameters of a robot on an application-by-application basis.

Embodiments of the present invention provide automated robotic system identification and stopping time and distance estimation, significantly improving on existing ad-hoc methods of robotic system identification. Systems and methods in accordance herewith can be used by end users, system integrators, and the robot manufacturers to estimate the dynamic parameters of a robot on an application-by-application basis.

Embodiments of the present invention provide automated robotic system identification and stopping time and distance estimation, significantly improving on existing ad-hoc methods of robotic system identification. Systems and methods in accordance herewith can be used by end users, system integrators, and the robot manufacturers to estimate the dynamic parameters of a robot on an application-by-application basis.

A robot system and method for conditionally stopping a robot, wherein a maximum stopping time and/or distance are defined by a user or integrator through a user interface as safety limits based on the risk assessment. The method provides the continuous calculation of the time and/or distance, which the robot would need to stop under maximum motor torque and/or brake appliance. The robot is stopped or the speed of the robot is reduced, if the calculated time and/or distance exceeds the maximum limit values set by the user or integrator. The method may also be used to program or generate the trajectories of the robot as not to exceed the speed of the movement under the condition of keeping the set maximum stopping time and/or distance as defined by a use.