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公开(公告)号：US20220118621A1
公开(公告)日：2022-04-21
申请号：US17561747
申请日：2021-12-24
Applicant: Intel Corporation
Inventor： Michael PAULITSCH , Florian GEISSLER , Ralf GRAEFE , Tze Ming HAU , Neslihan KOSE CIHANGIR , Ying Wei LIEW , Fabian Oboril , Yang PENG , Rafael ROSALES , Kay-Ulrich SCHOLL , Norbert STOEFFLER , Say Chuan TAN , Wei Seng YEAP , Chien Chern YEW
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.
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公开(公告)号：US20220107642A1
公开(公告)日：2022-04-07
申请号：US17553850
申请日：2021-12-17
Applicant: Intel Corporation
Inventor： Florian GEISSLER , Say Chuan TAN , Chien Chern YEW , Ying Wei LIEW , Neslihan KOSE CIHANGIR
Abstract: 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.
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公开(公告)号：US20210370954A1
公开(公告)日：2021-12-02
申请号：US17401341
申请日：2021-08-13
Applicant: Intel Corporation
Inventor： Ignacio J. ALVAREZ , Cornelius BUERKLE , Florian GEISSLER , Marcio JULIATO , Fabian OBORIL , Frederik PASCH , Ivan SIMOES GASPAR
Abstract: Disclosed herein is a passenger monitoring system for monitoring an observed attribute of a passenger in a vehicle. The observed attribute may include a gaze of the passenger, a head track of the passenger, and other observations about the passenger in the vehicle. Based on the observed attribute(s), a field of view of the passenger may be determined. Based on the field of view, a focus point of the passenger may be determined, where the focus point is estimated to be within the field of view. If a sign (e.g., a road sign, a billboard, etc.) is within the field of view of the passenger, record an attention score for the sign based on a duration of time during which the sign is within the field of view and estimated to be the focus point of the passenger.
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公开(公告)号：US20210103487A1
公开(公告)日：2021-04-08
申请号：US17126148
申请日：2020-12-18
Applicant: Intel Corporation
Inventor： Rafael ROSALES , Michael PAULITSCH , David Israel GONZÁLEZ AGUIRRE , Florian GEISSLER , Ralf GRAEFE
IPC: G06F11/07 , G06F16/901 , G06F11/00 , G06N7/00
Abstract: A computer-implemented method may include obtaining, from a system using a middleware component of the system, run-time evidence of the system; applying the obtained run-time evidence to a Directed Acyclic Graph (DAG) Bayesian network to determine marginal probabilities for one or more nodes of the DAG Bayesian network, wherein the DAG Bayesian network comprises a plurality of nodes each representing states and faults of the system, wherein each node includes a parameterized conditional probability distribution, and wherein one or more of the nodes of the plurality of nodes specify a list of one or more safety goals and a safety value; determining which nodes representing faults have probabilities exceeding their specified safety value; and determining one or more risk mitigation techniques to activate for the determined nodes representing faults with probabilities exceeding their respective safety value.
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