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公开(公告)号:US20240329220A1
公开(公告)日:2024-10-03
申请号:US18742789
申请日:2024-06-13
申请人: Brain Corporation
发明人: Thomas Hrabe , Matt Atlas , Darin Velarde
IPC分类号: G01S7/497 , B25J9/16 , B60W50/06 , G01D18/00 , H04N13/246
CPC分类号: G01S7/497 , B25J9/1692 , B25J9/1697 , B60W50/06 , H04N13/246 , G01D18/00 , G01S7/4972
摘要: Systems and methods for calibrating a robot's sensors are disclosed. In one exemplary implementation, an environment comprising a plurality of sensor targets and a fixed position for a robot allows for faster, more accurate calibration of a robot's sensors.
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公开(公告)号:US11825342B2
公开(公告)日:2023-11-21
申请号:US17465326
申请日:2021-09-02
申请人: Brain Corporation
发明人: Keith Chester , Daniel Sackinger
CPC分类号: H04W28/06 , H04L47/286
摘要: Systems, apparatuses, and methods for reducing network bandwidth usage by a fleet of robots. According to at least one non-limiting exemplary embodiment, robots coupled to a server collect and produce a substantial amount of data, only a portion of that data being useful for operators to monitor behavior of the robot. The present disclosure provides for, inter alia, optimized systems, apparatuses, and methods for operators to extract the useful data using only reduced bandwidth of cellular LTE networks or Wi-Fi networks.
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3.
公开(公告)号:US20230350420A1
公开(公告)日:2023-11-02
申请号:US18215335
申请日:2023-06-28
申请人: Brain Corporation
CPC分类号: G05D1/0246 , G05D1/0274 , G05D1/0214 , G06T7/50 , G06T7/11 , G05D2201/0203 , G06T2207/10028 , G06T2207/10024
摘要: Systems and methods for precisely estimating a robotic footprint for execution of near-collision motions are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may switch from using a computer readable map to a sensor which senses at least a portion of the robot to navigate close by objects.
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公开(公告)号:US20230042650A1
公开(公告)日:2023-02-09
申请号:US17955082
申请日:2022-09-28
申请人: Brain Corporation
发明人: David Ross , Botond Szatmary , Louis Gonzalez
摘要: Systems and methods for robotic disinfection and sanitation of environments are disclosed herein. The robotic devices disclosed herein may detect and map locations of pathogens within environments. The robotic devices disclosed herein may utilize data from sensor units to sanitize objects using desired methods specified by operators. The robotic devices disclosed herein may sanitize environments comprising people.
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公开(公告)号:US20230004166A1
公开(公告)日:2023-01-05
申请号:US17942804
申请日:2022-09-12
申请人: Brain Corporation
发明人: Dan Sackinger , Jarad Cannon , Josh Klein , Daniel Woodlands
IPC分类号: G05D1/02
摘要: Systems and methods for route synchronization between two or more robots to allow for a single training run of a route to effectively train multiple robots to follow the route.
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公开(公告)号:US20220212342A1
公开(公告)日:2022-07-07
申请号:US17574760
申请日:2022-01-13
申请人: Brain Corporation
发明人: Patryk Laurent , Jean-Baptiste Passot , Oleg Sinyavskiy , Filip Ponulak , Borja Ibarz Gabardos , Eugene Izhikevich
摘要: Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.
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公开(公告)号:US20220155407A1
公开(公告)日:2022-05-19
申请号:US17592127
申请日:2022-02-03
申请人: Brain Corporation
发明人: David Ross , Botond Szatmary
摘要: Systems and methods for localizing devices using network signatures and coverage maps measured by robots are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may generate a coverage map based on measurements collected during operation of the robot. The coverage map generated by the robot may be temporally accurate such that a device may be localized within the coverage map based on a received network signature from the device. The network signature comprising a measure of amplitudes of Wi-Fi networks and/or cellular networks at a point within an environment of the coverage map.
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公开(公告)号:US20220070730A1
公开(公告)日:2022-03-03
申请号:US17465326
申请日:2021-09-02
申请人: Brain Corporation
发明人: Keith Chester , Daniel Sackinger
IPC分类号: H04W28/06 , H04L12/841
摘要: Systems, apparatuses, and methods for reducing network bandwidth usage by a fleet of robots. According to at least one non-limiting exemplary embodiment, robots coupled to a server collect and produce a substantial amount of data, only a portion of that data being useful for operators to monitor behavior of the robot. The present disclosure provides for, inter alia, optimized systems, apparatuses, and methods for operators to extract the useful data using only reduced bandwidth of cellular LTE networks or Wi-Fi networks.
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公开(公告)号:US20210298552A1
公开(公告)日:2021-09-30
申请号:US17346386
申请日:2021-06-14
申请人: Brain Corporation
摘要: Systems and methods for improved control of nonholonomic robotic systems are disclosed herein. According to at least one non-limiting exemplary embodiment, a holonomic reference point on or nearby a nonholonomic robot may be determined and utilized to navigate the robot along a target trajectory. Due to the holonomicity of the reference point, control logic of the robotic system may be greatly simplified, thereby enhancing accuracy of navigation and navigation capabilities of nonholonomic robotic systems.
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公开(公告)号:US20210294328A1
公开(公告)日:2021-09-23
申请号:US17206940
申请日:2021-03-19
申请人: Brain Corporation
发明人: Sahil Dhayalkar
IPC分类号: G05D1/02
摘要: Systems and methods for determining a pose of a sensor on a robot are disclosed herein. According to at least one non-limiting exemplary embodiment, a pose of a sensor may be determined with respect to a base link frame origin based on a measured discrepancy between localization data of an object by the sensor and another sensor, the discrepancy corresponding to an error in a pose of the sensor. Pose graph optimization may further be utilized to calibrate all sensors of a robot using digital transformations or may be utilized to diagnose errors in poses of one or more sensors.
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