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141.发明申请公开(公告)号：US20170329334A1
公开(公告)日：2017-11-16
申请号：US15340312
申请日：2016-11-01
Applicant: FUJI XEROX CO., LTD.
Inventor： Takaaki KASHIWAGI , Masayasu TAKANO , Kazutoshi YATSUDA , Kaoru YASUKAWA , Ryosuke NAKANISHI , Daigo KUSANO
CPC classification number: G05D1/0088 , G05D1/0221 , G05D2201/02 , G06F16/285 , G06F16/29 , G06N20/00
Abstract: An operation model construction system includes a data acquisition unit that acquires operating data and external environment data of a moving object, an associated data accumulation unit that accumulates associated data obtained by classifying the external environment data into plural items and associating the operating data with the respective items, and an operation model construction unit that constructs plural operation models to operate the moving object, based on the associated data.
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公开(公告)号：US20170327151A1
公开(公告)日：2017-11-16
申请号：US15531259
申请日：2015-10-22
Applicant: Robert Bosch GmbH
Inventor： Stefan Nordbruch
CPC classification number: B62D15/0285 , B60W30/165 , G05D1/0061 , G05D1/024 , G05D1/0291 , G05D1/0295 , G05D1/0297 , G05D2201/02 , G05D2201/0213 , G08G1/04 , G08G1/142 , G08G1/146 , G08G1/22
Abstract: A method for operating a plurality of vehicles includes sending over a communication network and to a first vehicle navigation data for an autonomous navigation of the first vehicle in a parking facility, the first vehicle being assigned as a guide vehicle to a second vehicle that is to autonomously follow the first vehicle, a target signal being sent to the second vehicle via the communication network while the second vehicle is following the guide vehicle during the autonomous navigation of the guide vehicle in the parking facility, the signal indicating that the second vehicle is to terminate the following and to park at a target position.
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公开(公告)号：US09795199B2
公开(公告)日：2017-10-24
申请号：US14866859
申请日：2015-09-26
Applicant: Amber Caputo , George Nieves
Inventor： Amber Caputo , George Nieves
CPC classification number: A45C5/14 , A45C7/0022 , A45C7/0036 , A45C13/18 , A45C13/262 , A45C2003/002 , G01S5/0294 , G01S19/13 , G05D1/0011 , G05D1/028 , G05D2201/02
Abstract: A motorized luggage assembly includes a base unit that may contain objects and the base unit may be placed on a support surface. The base unit is structured to roll along the support surface. The base unit includes a mobility unit that is coupled to the base unit. The mobility unit is urges the base unit along the support surface. A tracking unit is coupled to the base unit. The tracking unit is operationally coupled to the mobility unit such that the tracking unit steers the mobility unit. A remote unit is provided and the remote unit may be worn. The remote unit is in communication with the base unit such that the base unit may follow the remote unit.
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公开(公告)号：US09789605B2
公开(公告)日：2017-10-17
申请号：US15174858
申请日：2016-06-06
Applicant: Brain Corporation
Inventor： Philip Meier , Jean-Baptiste Passot , Borja Ibarz Gabardos , Patryk Laurent , Oleg Sinyavskiy , Peter O'Connor , Eugene Izhikevich
CPC classification number: B25J9/163 , B25J9/1602 , B25J9/161 , B25J9/1656 , G05B2219/40116 , G05D1/0033 , G05D1/0088 , G05D2201/02 , G06N3/008 , G06N99/005 , Y10S901/01 , Y10S901/46
Abstract: Robots have the capacity to perform a broad range of useful tasks, such as factory automation, cleaning, delivery, assistive care, environmental monitoring and entertainment. Enabling a robot to perform a new task in a new environment typically requires a large amount of new software to be written, often by a team of experts. It would be valuable if future technology could empower people, who may have limited or no understanding of software coding, to train robots to perform custom tasks. Some implementations of the present invention provide methods and systems that respond to users' corrective commands to generate and refine a policy for determining appropriate actions based on sensor-data input. Upon completion of learning, the system can generate control commands by deriving them from the sensory data. Using the learned control policy, the robot can behave autonomously.
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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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Patent Agency Ranking
公开(公告)号：US20170285638A1
公开(公告)日：2017-10-05
申请号：US15623924
申请日：2017-06-15
Applicant: Sikorsky Aircraft Corporation
Inventor： Thomas Zygmant , Jesse J. Lesperance , Ira E. Zoock , James A. Kelly
CPC classification number: G05D1/0061 , B64C39/024 , B64C2201/141 , B64C2201/146 , G05D1/0011 , G05D1/0055 , G05D1/0088 , G05D2201/02 , G08G5/003
Abstract: A vehicle includes a frame, drive elements configured to drive movements of the frame, and a computer configured to receive mission planning and manual commands and to control operations of the drive elements to operate in a safe mode in which mission commands are accepted but manual commands are refused, a manual mode in which mission commands are refused but manual commands are accepted and an enroute mode. The computer is further configured to only allow mode transitions directly between the safe mode and the manual mode and directly between the safe mode and the enroute mode.
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公开(公告)号：US09740213B2
公开(公告)日：2017-08-22
申请号：US15057511
申请日：2016-03-01
Applicant: KUKA Roboter GmbH
Inventor： Christoph Bick , Daniel Meyer-Delius , Jeremie Tardivon
CPC classification number: G05D1/0295 , B62D59/04 , G05D1/0027 , G05D2201/02
Abstract: A vehicle combination and a method for forming and operating a vehicle combination that includes at least first and second autonomous vehicles. Each of the autonomous vehicles is configured to automatically control its motions in a state wherein the first and second autonomous vehicles do not form the vehicle combination. When the vehicle combination is formed, the two autonomous vehicles are connected via a communications connection and the first autonomous vehicle automatically controls the motion of the second autonomous vehicle via the communication connection.
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公开(公告)号：US20170232613A1
公开(公告)日：2017-08-17
申请号：US15464104
申请日：2017-03-20
Applicant: Brain Corporation
Inventor： Filip Ponulak , Moslem Kazemi , Patryk Laurent , Oleg Sinyavskiy , Eugene zhikevich
CPC classification number: B25J9/163 , B25J9/161 , G05B2219/36418 , G05B2219/36425 , G05B2219/40499 , G05D1/005 , G05D1/0088 , G05D1/0221 , G05D2201/02 , G06N3/008 , G06N3/049 , G06N99/005
Abstract: Robotic devices may be trained by a trainer guiding the robot along a target trajectory using physical contact with the robot. The robot may comprise an adaptive controller configured to generate control commands based on one or more of the trainer input, sensory input, and/or performance measure. The trainer may observe task execution by the robot. Responsive to observing a discrepancy between the target behavior and the actual behavior, the trainer may provide a teaching input via a haptic action. The robot may execute the action based on a combination of the internal control signal produced by a learning process of the robot and the training input. The robot may infer the teaching input based on a comparison of a predicted state and actual state of the robot. The robot's learning process may be adjusted in accordance with the teaching input so as to reduce the discrepancy during a subsequent trial.
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149.发明授权公开(公告)号：US09704043B2
公开(公告)日：2017-07-11
申请号：US14572712
申请日：2014-12-16
Applicant: iRobot Corporation
Inventor： Mark S. Schnittman
CPC classification number: G06K9/00671 , B25J5/00 , B25J19/023 , G05D1/0088 , G05D1/0246 , G05D1/0274 , G05D2201/02 , G06K9/00201 , G06K9/00664 , G06K9/6262 , G06K9/66 , G06T7/55 , Y10S901/01 , Y10S901/47
Abstract: The present teachings provide an autonomous mobile robot that includes a drive configured to maneuver the robot over a ground surface within an operating environment; a camera mounted on the robot having a field of view including the floor adjacent the mobile robot in the drive direction of the mobile robot; a frame buffer that stores image frames obtained by the camera while the mobile robot is driving; and a memory device configured to store a learned data set of a plurality of descriptors corresponding to pixel patches in image frames corresponding to portions of the operating environment and determined by mobile robot sensor events.
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公开(公告)号：US20170177000A1
公开(公告)日：2017-06-22
申请号：US14979351
申请日：2015-12-22
Applicant: Uber Technologies, Inc.
Inventor： Eric Meyhofer , David Rice
CPC classification number: G05D1/0251 , G02F1/13306 , G05D2201/02 , H04N5/2257 , H04N5/2258 , H04N13/243
Abstract: An intelligent lens masking system for a camera array of an autonomous vehicle (AV) can include an array interface to receive real-time data from the camera array as the AV travels along a given route, where each camera of the camera array may include a masking layer on its lens. The intelligent lens masking system can dynamically identify, in the real-time data, a number of light sources in the field of view for each respective camera in the camera array. Once the light source(s) for the respective camera is detected, the intelligent lens masking system can dynamically block the lights source(s) for the respective camera by activating a number of pixels of the masking layer.
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