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公开(公告)号：US20220111523A1
公开(公告)日：2022-04-14
申请号：US17556246
申请日：2021-12-20
申请人： Eng Kwong Lee , Bernd Gassmann , Ying Wei Liew , Say Chuan Tan , Frederik Pasch , Fabian Oboril , Cornelius Buerkle , Chien Chern Yew
发明人： Eng Kwong Lee , Bernd Gassmann , Ying Wei Liew , Say Chuan Tan , Frederik Pasch , Fabian Oboril , Cornelius Buerkle , Chien Chern Yew
摘要： Systems and techniques for controlling a mobile robot. In an example, the system may include a processor and memory, including instructions, which when executed by the processor, cause the processor to determine a state of the mobile robot. The state of the mobile robot may be determined using at least one of: data provided by the mobile robot or data captured by one or more sensors proximate to or attached to the mobile robot. The system may determine a state of an object proximate to the mobile robot using the data captured by the one or more sensors, and identify information relating to one or more available stopping points. The system may identify a condition of the mobile robot that requires the mobile robot to stop and issue a command to the mobile robot to navigate to a particular one of the one or more available stopping points.
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公开(公告)号：US20220111516A1
公开(公告)日：2022-04-14
申请号：US17556788
申请日：2021-12-20
申请人： Wei Seng Yeap , Chien Chern Yew , Ying Wei Liew , Say Chuan Tan , Tze Ming Hau , Frederik Pasch , Fabian Oboril , Kay-Ulrich Scholl , Cornelius Buerkle
发明人： Wei Seng Yeap , Chien Chern Yew , Ying Wei Liew , Say Chuan Tan , Tze Ming Hau , Frederik Pasch , Fabian Oboril , Kay-Ulrich Scholl , Cornelius Buerkle
摘要： 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.
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公开(公告)号：US20210397858A1
公开(公告)日：2021-12-23
申请号：US17462472
申请日：2021-08-31
申请人： Cornelius Buerkle , Fabian Oboril , Frederik Pasch , Yin Wei Liew , Say Chuan Tan , Chien Chern Yew , Ralf Graefe , Florian Geissler , Ignacio J. Alvarez
发明人： Cornelius Buerkle , Fabian Oboril , Frederik Pasch , Yin Wei Liew , Say Chuan Tan , Chien Chern Yew , Ralf Graefe , Florian Geissler , Ignacio J. Alvarez
摘要： Disclosed herein are systems and methods for detecting and mitigating inappropriate behavior. The systems and methods may include receiving data. Using the data a harassment score and/or classification for a behavior may be determined. Using the harassment score and/or classification, a determination may be made as to when the harassment score and/or classification for the behavior exceeds a threshold. When the threshold is exceeded, a protection system and/or action engine may be activated to mitigate the inappropriate behavior.
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公开(公告)号：US20210103747A1
公开(公告)日：2021-04-08
申请号：US17125642
申请日：2020-12-17
摘要： A vehicle recognition system includes a sound analysis circuit to analyze captured sounds using an audio machine learning technique to identify a sound event. The system includes an image analysis circuit to analyze captured images using an image machine learning technique to identify an image event, and a vehicle identification circuit to identify a type of vehicle based on the image event and the sound event. The vehicle identification circuit may further use V2V or V2I alerts to identify the type of vehicle and communicate a V2X or V2I alert message based on the vehicle type. In some aspects, the type of vehicle is further identified based on a light event associated with light signals detected by the vehicle recognition system.
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