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公开(公告)号：US20230021778A1
公开(公告)日：2023-01-26
申请号：US17961926
申请日：2022-10-07
Applicant: Brain Corporation
Inventor： Jean-Baptiste Passot , Andrew Smith , Botond Szatmary , Borja Ibarz Gabardos , Cody Griffin , Jaldert Rombouts , Oleg Sinyavskiy , Eugene Izhikevich
Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
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公开(公告)号：US10823576B2
公开(公告)日：2020-11-03
申请号：US16356160
申请日：2019-03-18
Applicant: BRAIN CORPORATION
Inventor： Jaldert Rombouts , Borja Ibarz Gabardos , Jean-Baptiste Passot , Andrew Smith
Abstract: Systems and methods for robotic mapping are disclosed. In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.
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公开(公告)号：US20190121365A1
公开(公告)日：2019-04-25
申请号：US16168368
申请日：2018-10-23
Applicant: Brain Corporation
Inventor： Jean-Baptiste Passot , Andrew Smith , Botond Szatmary , Borja Ibarz Gabardos , Cody Griffin , Jaldert Rambouts , Oleg Sinyavskiy , Eugene Izhikevich
Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
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公开(公告)号：US20170291301A1
公开(公告)日：2017-10-12
申请号：US15495804
申请日：2017-04-24
Applicant: Brain Corporation
Inventor： Borja Ibarz Gabardos , Andrew Smith , Peter O'Connor
CPC classification number: B25J9/163 , B25J9/0081 , B25J9/1602 , B25J9/1607 , B25J9/161 , B25J9/1666 , B25J9/1697 , G05D1/0088 , G05D1/0246 , G05D2201/02 , G06N3/00 , G06N3/008 , G06N3/049 , G06N20/00 , Y10S901/01 , Y10S901/03 , Y10S901/09 , Y10S901/47
Abstract: A robotic device may be operated by a learning controller comprising a feature learning configured to determine control signal based on sensory input. An input may be analyzed in order to determine occurrence of one or more features. Features in the input may be associated with the control signal during online supervised training. During training, learning process may be adapted based on training input and the predicted output. A combination of the predicted and the target output may be provided to a robotic device to execute a task. Feature determination may comprise online adaptation of input, sparse encoding transformations. Computations related to learning process adaptation and feature detection may be performed on board by the robotic device in real time thereby enabling autonomous navigation by trained robots.
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公开(公告)号：US09630318B2
公开(公告)日：2017-04-25
申请号：US14542391
申请日：2014-11-14
Applicant: Brain Corporation
Inventor： Borja Ibarz Gabardos , Andrew Smith , Peter O'Connor
CPC classification number: B25J9/163 , B25J9/1607 , B25J9/1666 , B25J9/1697 , G05D1/0088 , G05D1/0246 , G05D2201/02 , G06N3/00 , G06N3/008 , G06N3/049 , Y10S901/01 , Y10S901/03 , Y10S901/09 , Y10S901/47
Abstract: A robotic device may be operated by a learning controller comprising a feature learning configured to determine control signal based on sensory input. An input may be analyzed in order to determine occurrence of one or more features. Features in the input may be associated with the control signal during online supervised training. During training, learning process may be adapted based on training input and the predicted output. A combination of the predicted and the target output may be provided to a robotic device to execute a task. Feature determination may comprise online adaptation of input, sparse encoding transformations. Computations related to learning process adaptation and feature detection may be performed on board by the robotic device in real time thereby enabling autonomous navigation by trained robots.
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Patent Agency Ranking
公开(公告)号：US11467602B2
公开(公告)日：2022-10-11
申请号：US16168368
申请日：2018-10-23
Applicant: Brain Corporation
Inventor： Jean-Baptiste Passot , Andrew Smith , Botond Szatmary , Borja Ibarz Gabardos , Cody Griffin , Jaldert Rombouts , Oleg Sinyavskiy , Eugene Izhikevich
Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
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公开(公告)号：US20190249998A1
公开(公告)日：2019-08-15
申请号：US16356160
申请日：2019-03-18
Applicant: BRAIN CORPORATION
Inventor： Jaldert Rombouts , Borja Ibarz Gabardos , Jean-Baptiste Passot , Andrew Smith
Abstract: Systems and methods for robotic mapping are disclosed In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.
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公开(公告)号：US10274325B2
公开(公告)日：2019-04-30
申请号：US15340807
申请日：2016-11-01
Applicant: BRAIN CORPORATION
Inventor： Jaldert Rombouts , Borja Ibarz Gabardos , Jean-Baptiste Passot , Andrew Smith
Abstract: Systems and methods for robotic mapping are disclosed. In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.
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公开(公告)号：US20180120116A1
公开(公告)日：2018-05-03
申请号：US15340807
申请日：2016-11-01
Applicant: BRAIN CORPORATION
Inventor： Jaldert Rombouts , Borja Ibarz Gabardos , Jean-Baptiste Passot , Andrew Smith
Abstract: Systems and methods for robotic mapping are disclosed. In some exemplary implementations, a robot can travel in an environment. From travelling in the environment, the robot can create a graph comprising a plurality of nodes, wherein each node corresponds to a scan taken by a sensor of the robot at a location in the environment. In some exemplary implementations, the robot can generate a map of the environment from the graph. In some cases, to facilitate map generation, the robot can constrain the graph to start and end at a substantially similar location. The robot can also perform scan matching on extended scan groups, determined from identifying overlap between scans, to further determine the location of features in a map.
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公开(公告)号：US20170329347A1
公开(公告)日：2017-11-16
申请号：US15152425
申请日：2016-05-11
Applicant: Brain Corporation
Inventor： Jean-Baptiste Passot , Andrew Smith , Botond Szatmary , Borja Ibarz Gabardos , Cody Griffin , Jaldert Rombouts , Oleg Sinyavskiy , Eugene Izhikevich
CPC classification number: G05D1/0274 , A47L9/2826 , A47L9/2852 , A47L11/4011 , A47L11/4061 , A47L2201/04 , G05D1/0088 , G05D1/0221 , G05D1/0246 , G05D2201/0203
Abstract: Systems and methods for training a robot to autonomously travel a route. In one embodiment, a robot can detect an initial placement in an initialization location. Beginning from the initialization location, the robot can create a map of a navigable route and surrounding environment during a user-controlled demonstration of the navigable route. After the demonstration, the robot can later detect a second placement in the initialization location, and then autonomously navigate the navigable route. The robot can then subsequently detect errors associated with the created map. Methods and systems associated with the robot are also disclosed.
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