Patent classifications
G05B2219/49137
PROJECTING SAFETY-RELATED MONITORING FOR A MULTI-AXIS KINEMATIC SYSTEM WITH MULTIPLE MOVABLE SEGMENTS
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.
Method for computer-aided user assistance during the activation of a movement planner for a machine
Provided is a method for computer-aided user assistance during the activation of a movement planner for a machine, in which: a user interface is provided and can be used by a user to specify parameterization data for the movement planner, wherein the parameterization data comprise a machine model and an environment model; the collision-free movement space and the collision-prone movement space of the machine in the configuration space are determined on the basis of parameterization data specified via the user interface; one or more features with respect to the collision-free and/or collision-prone movement space are determined; a predefined plausibility criterion is checked for a respective feature of at least some of the features, wherein, if the plausibility criterion has not been satisfied, an output in the form of a warning message is produced via the user interface.
MOTION PLANNING AND TASK EXECUTION USING POTENTIAL OCCUPANCY ENVELOPES
Spatial regions potentially occupied by a robot (or other machinery) or portion thereof and a human operator during performance of all or a defined portion of a task or an application are computationally estimated. These “potential occupancy envelopes” (POEs) may be based on the states (e.g., the current and expected positions, velocities, accelerations, geometry and/or kinematics) of the robot and the human operator. Once the POEs of human operators in the workspace are established, they can be used to guide or revise motion planning for task execution.
MOTION PLANNING AND TASK EXECUTION USING POTENTIAL OCCUPANCY ENVELOPES
Spatial regions potentially occupied by a robot (or other machinery) or portion thereof and a human operator during performance of all or a defined portion of a task or an application are computationally estimated. These “potential occupancy envelopes” (POEs) may be based on the states (e.g., the current and expected positions, velocities, accelerations, geometry and/or kinematics) of the robot and the human operator. Once the POEs of human operators in the workspace are established, they can be used to guide or revise motion planning for task execution.
ROBOT PLANNING
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for controlling robotic movements. One of the methods includes receiving, for a robot, an initial plan specifying a path and a local trajectory; receiving an updated observation of an environment of the robot; generating an initial modified local trajectory for the robot based on the updated observation in the environment of the robot; repeatedly following the initial modified local trajectory for the robot while generating a modified global path for the robot, comprising: obtaining data representing a workspace footprint for the robot, the workspace footprint defining a volume for a workspace of the robot, and generating the modified global path to avoid causing the robot to cross a boundary of the volume defined by the workspace footprint; and causing the robot to follow the modified global path for the robot.
System
A system having a sensor system comprising distance sensors for monitoring a hazardous zone at a movable machine part having at least one protected zone, wherein a tool is arranged at the movable machine part, wherein the distance sensors are arranged at a holder at the movable machine part, wherein a plurality of distance sensors are arranged, with the detection beams of the distance sensors forming a protected field shell, wherein the holder has the distance sensors, with the holder having a disk-shaped housing, with the disk-shaped housing having round surfaces and not having any corners at the outer surfaces, with the system comprising a fastening system, the fastening system comprises one of a first fastening adapter and a second fastening adapter at which the holder is respectively arranged for fastening the holder to the movable machine part.
Robot control method and robot
A robot control method includes defining a robot monitor model that covers at least a part of the robot and defining a monitor region parallel to a coordinate system for the robot. The monitor region is configured to monitor a range of motion of the robot. The method further includes transforming a position of a definition point that is an arbitrary point contained in the robot monitor model into a position of the definition point in a coordinate system different from the coordinate system for the robot (ST9), determining whether or not the robot monitor model is put into contact with a boundary surface of the monitor region by using the transformed position of the definition point (ST6), and stopping motion of the robot if the robot monitor model is put into contact with the boundary surface (ST8).
SAFETY SYSTEM FOR INTEGRATED HUMAN/ROBOTIC ENVIRONMENTS
Systems and methods are provided for specifying safety rules for robotic devices. A computing device can determine information about any actors present within a predetermined area of an environment. The computing device can determine a safety classification for the predetermined area based on the information. The safety classification can include: a low safety classification if the information indicates zero actors are present within the predetermined area, a medium safety classification if the information indicates any actors are present within the predetermined area all are of a predetermined first type, and a high safety classification if the information indicates at least one actor present within the predetermined area is of a predetermined second type. After determining the safety classification for the predetermined area, the computing device can provide a safety rule for operating within the predetermined area to a robotic device operating in the environment.
Safety system for integrated human/robotic environments
Systems and methods are provided for specifying safety rules for robotic devices. A computing device can determine information about any actors present within a predetermined area of an environment. The computing device can determine a safety classification for the predetermined area based on the information. The safety classification can include: a low safety classification if the information indicates zero actors are present within the predetermined area, a medium safety classification if the information indicates any actors are present within the predetermined area all are of a predetermined first type, and a high safety classification if the information indicates at least one actor present within the predetermined area is of a predetermined second type. After determining the safety classification for the predetermined area, the computing device can provide a safety rule for operating within the predetermined area to a robotic device operating in the environment.
SAFETY SYSTEM FOR INTEGRATED HUMAN/ROBOTIC ENVIRONMENTS
Systems and methods are provided for specifying safety rules for robotic devices. A computing device can determine information about any actors present within a predetermined area of an environment. The computing device can determine a safety classification for the predetermined area based on the information. The safety classification can include: a low safety classification if the information indicates zero actors are present within the predetermined area, a medium safety classification if the information indicates any actors are present within the predetermined area all are of a predetermined first type, and a high safety classification if the information indicates at least one actor present within the predetermined area is of a predetermined second type. After determining the safety classification for the predetermined area, the computing device can provide a safety rule for operating within the predetermined area to a robotic device operating in the environment.