Abstract: Disclosed herein are systems, devices, and methods for improving the safety of a robot. The safety system may determine a safety envelope of a robot based on a planned movement of the robot and based on state information about a load carried by a robot. The state information may include a dynamic status of the load. The safety system may also determine a safety risk based on a detected object with respect to the safety envelope. The safety system may also generate a mitigating action to the planned movement if the safety risk exceeds a threshold value.

Abstract: Systems and techniques for reliable real-time deployment of robot safety updates are described herein. Condition data may be collected for an environment in which a robot is operating. The robot may be classified with a condition type. Condition type data selected from the condition data may be analyzed based on the condition type to calculate a safety risk level for the robot. A microservice may be identified to provide a robot safety rule for the robot based on the safety risk level. The microservice may be identified using a safety prediction model generated from the condition type data.

Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of collaborative environments in which a robot may interact a human. The safety system may determine a monitored attribute of a person within an operating environment of a robot, where the monitored attribute may be based on received sensor information about the person in the operating environment. In addition, the safety system may determine a risk score for the person based on the monitored attribute. The risk score may be defined by (1) a collision probability that the person will cause an interference during a planned operation of the robot and (2) a severity level associated with the interference. The safety system may also generate a mitigating instruction for the robot if the risk score exceeds a threshold level.

Abstract: Apparatuses, methods and storage medium associated with automatic SATA receiver equalization margin determination and setting, are disclosed. In embodiments, an apparatus may comprise a BIOS configured to determine, during POST, whether a device is attached to one of the SATA ports, and on determination that a device is attached to one of the SATA ports, further determine whether a receiver equalization margin has been set for the device. Additionally, the BIOS may be configured to perform a DTLE training to dynamically determine and set the receiver equalization margin for the device, on determination that a receiver equalization margin has not been set for the device. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, methods and storage medium associated with automatic SATA receiver equalization margin determination and setting, are disclosed. In embodiments, an apparatus may comprise a BIOS configured to determine, during POST, whether a device is attached to one of the SATA ports, and on determination that a device is attached to one of the SATA ports, further determine whether a receiver equalization margin has been set for the device. Additionally, the BIOS may be configured to perform a DTLE training to dynamically determine and set the receiver equalization margin for the device, on determination that a receiver equalization margin has not been set for the device. Other embodiments may be described and/or claimed.

Abstract: Multiple operational contexts are called up from a Standby power state of a computing device. The operational contexts run on one or more operating systems of the computing device. When a desired operational context is chosen, such as by activation through a user initiated act or hot key, the operating system supporting the desired operational context is booted up from the Standby power state.