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.

Situational-awareness controllers and methods to increase situational-awareness for an actor associated with a triggering event are described. An example method includes in response to receiving a notification of a triggering event generated by at least one sensor, a computing device accessing information that includes related to an actor associated with the triggering event. The computing device correlates the information to a compilation of historical information by (i) determining whether the actor's location is associated with one or more safety events stored as part of the compilation of historical information and (ii) determining a risk level of the actor based on whether the one or more associated safety events occurred within a predetermined range of time from the time associated with the triggering event. The computing device generates a command based on a result of the correlating and sends the command to at least one controllable device.

Situational-awareness controllers and methods to increase situational-awareness for an actor associated with a triggering event are described. An example method includes in response to receiving a notification of a triggering event generated by at least one sensor, a computing device accessing information that includes related to an actor associated with the triggering event. The computing device correlates the information to a compilation of historical information by (i) determining whether the actor's location is associated with one or more safety events stored as part of the compilation of historical information and (ii) determining a risk level of the actor based on whether the one or more associated safety events occurred within a predetermined range of time from the time associated with the triggering event. The computing device generates a command based on a result of the correlating and sends the command to at least one controllable device.

A machine tool acquires information related to manual operation from log data recorded when machining and the manual operation are performed in the machine tool, creates input data on the basis of the acquired information, acquires information related to occurrence or non-occurrence of a collision of a spindle or a tool at the time of the manual operation from the log data, and creates teacher data on the basis of the acquired information. Supervised learning is performed using the created input data and the created teacher data, and a learning model is constructed.

A machine tool collision avoidance method includes: loading multiple processing codes; simulating multiple path traces corresponding to the processing codes; estimating multiple execution periods for running the path traces; selecting the shortest execution period from the execution periods; determines whether the distance between the trace point points on any two of the path traces is less than a safety distance within the shortest execution period; if the distance between a first trace point on a first path trace and a second trace point on a second path trace is less than the safety distance, estimating a first time point at which a first turret runs to the first trace point and a second time point at which the second turret runs to the second trace point; generating a collision warning if the difference between the first time point and the second time point is lower than a tolerance value.

Systems and methods for determining the location of personnel on a drilling site. A computer vision system can automatically identify and determine the locations of personnel on a drilling site, can generate a confidence map of the locations, and can display the locations of the personnel on a map of the drilling site. The system and methods also include taking corrective action when a person's location is determined to be unsafe, such as by inhibiting or causing automated actions with respect to machinery and equipment at the drilling site. The systems and methods may include the use of multiple cameras or video sources located at the drilling site and may be coupled to a control system to control machinery or equipment at the drilling site.

The present invention relates to an industrial robot system comprising a platform (1) positioned in a robot cell, an industrial robot (2) positioned on the platform and including an articulated robot arm (6), a sensor system comprising 5 two sensors (4, 5), wherein each of the sensors is configured to detect motions within an angle of at least 90o in a horizontal plane, two arms (10, 12) attached to the platform (1) and arranged to move the sensors (4, 5) in relation to the platform independent of the articulated robot arm between an extended position located a distance of a least 0.5 m from the platform and a 10 retracted position. The sensors are arranged to detect motions of an object within a safety zone and the robot system is configured to adjust the speed of the robot if a moving object is detected in the safety zone.

Situational-awareness controllers and methods to increase situational-awareness for an actor associated with a triggering event are described. An example method includes in response to receiving a notification of a triggering event generated by at least one sensor, a computing device accessing information that includes related to an actor associated with the triggering event. The computing device correlates the information to a compilation of historical information by (i) determining whether the actor's location is associated with one or more safety events stored as part of the compilation of historical information and (ii) determining a risk level of the actor based on whether the one or more associated safety events occurred within a predetermined range of time from the time associated with the triggering event. The computing device generates a command based on a result of the correlating and sends the command to at least one controllable device.

Situational-awareness controllers and methods to increase situational-awareness for an actor associated with a triggering event are described. An example method includes in response to receiving a notification of a triggering event generated by at least one sensor, a computing device accessing information that includes related to an actor associated with the triggering event. The computing device correlates the information to a compilation of historical information by (i) determining whether the actor's location is associated with one or more safety events stored as part of the compilation of historical information and (ii) determining a risk level of the actor based on whether the one or more associated safety events occurred within a predetermined range of time from the time associated with the triggering event. The computing device generates a command based on a result of the correlating and sends the command to at least one controllable device.

Techniques for controlling a process to prevent injury are presented. The techniques include obtaining a location estimation of a mobile transmitter affixed to an object, where the location estimation is relative to a location of a fixed receiver, and where the obtaining the location estimation includes sending an ultra wideband communication from the mobile transmitter to the fixed receiver and acquiring the ultra wideband communication by a phased antenna array of the fixed receiver; assessing, based on the location estimation, that the mobile transmitter is within an impermissible location; determining that the location estimation is sufficiently accurate based on a distance between the location estimation and the fixed receiver; and interrupting the process upon both assessing that the mobile transmitter is within an impermissible location and determining that the location estimation is sufficiently accurate.