Intel Corporation

Ying Wei Liew

Say Chuan Tan

Cornelius Buerkle

Fabian Oboril

Frederik Pasch

Wei Seng Yeap

Chien Chern Yew

Florian Geissler

Neslihan Kose Cihangir

Bernd Gassmann

Kay-ulrich Scholl

Soon Chieh Lim

Tze Ming Hau

Loo Shing Tan

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.

Reliable real-time deployment of robot safety updates

Disclosed herein are systems, devices, and methods of a sanitation system for intelligently adapting the cleaning operations of a sanitation robot. The sanitation system detects a plurality of objects in a workspace and then, for each detected object of the plurality of objects, determines a sanitation score for the detected object based on observations of the detected object over a time period. The sanitation system generates a cleaning schedule based on the sanitation score for each detected object, wherein the cleaning schedule comprises instructions for a sanitation robot to clean the plurality of objects.

Smart sanitation robot

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.

Situation-aware safety assessment of robot-human activities

Techniques that may be utilized in a multiprocessor system to reduce power consumption are described. In one embodiment, one or more internal components of a processor core are clocked at least partially by a frequency controlled clock signal.

Reducing power consumption in multiprocessor systems

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Pulau Penang, Malaysia

Ying Wei Liew