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公开(公告)号：US20240175702A1
公开(公告)日：2024-05-30
申请号：US18552608
申请日：2022-03-30
Inventor： Taozheng YANG , Tao KONG , Lei LI
IPC: G01C21/00
CPC classification number: G01C21/38
Abstract: Provided are a navigation method and apparatus, a storage medium, and a device. The method includes the steps below. A global planning path in a target map is determined according to a current position of a robot and an end position in a navigation request. An initial local path corresponding to the global planning path is determined based on a local planning range. The local planning range corresponds to the boundary of a local costmap. The local costmap includes obstacle information within the local planning range. A local planning path corresponding to the initial local path is generated according to the initial local path and the local costmap. A navigation control instruction of the robot is generated according to the local planning path and a preset robot model corresponding to the robot.
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公开(公告)号：US20250162161A1
公开(公告)日：2025-05-22
申请号：US18920347
申请日：2024-10-18
Inventor： Yifeng LI , Hanbo ZHANG , Jie XU , Tao KONG
Abstract: The present disclosure discloses a data processing method and apparatus, a device, and a computer medium. The method includes: obtaining an instruction from a user and an environment image; determining, based on the instruction, the environment image and a preset target interaction model, an object to be grabbed in the environment image that corresponds to the instruction; and controlling a grabbing apparatus to grab a target item corresponding to the object to be grabbed.
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3.发明公开公开(公告)号：US20240221353A1
公开(公告)日：2024-07-04
申请号：US18569508
申请日：2022-10-12
Inventor： Yifeng LI , Guanglin LI , Tao KONG
CPC classification number: G06V10/761 , G06T7/38 , G06T2207/10024 , G06T2207/10028
Abstract: The present disclosure relates to method and apparatus of object localization in a discontinuous observation scene, and a storage medium. Provided is a method of object localization in a discontinuous observation scene, comprising: acquiring an object model based on a benchmark image that is obtained when the observation is resumed from interruption, and based on the acquired object model and an object reconstruction model, achieving association between objects before and after the observation interruption.
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公开(公告)号：US20230394671A1
公开(公告)日：2023-12-07
申请号：US18251228
申请日：2021-09-27
CPC classification number: G06T7/11 , G06T3/40 , G06T2207/20221
Abstract: Provided are an image segmentation method and apparatus, a device, and a storage medium. The image segmentation method includes: fusing a visual feature corresponding to an original image with a text feature corresponding to a description language to obtain a multimodal feature, where the description language is used for specifying a target object to be segmented in the original image; determining a visual region of the target object according to an image corresponding to the multimodal feature and recording an image corresponding to the visual region as a response heat map; and determining a segmentation result of the target object according to the image corresponding to the multimodal feature and the response heat map.
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Patent Agency Ranking
公开(公告)号：US20250108507A1
公开(公告)日：2025-04-03
申请号：US18774064
申请日：2024-07-16
Inventor： Hongtao WU , Ya JING , Chilam CHEANG , Guangzeng CHEN , Jiafeng XU , Tao KONG
IPC: B25J9/16
Abstract: Methods, devices, and media for operating a robot arm are provided. In one method, receive a language description for specifying a target implemented by the robot arm; obtain a current state of the robot arm; and determine, according to an action model, an action to be performed by the robot arm based on the language description and the current state. With the example implementation of the present disclosure, the problem of insufficient training data of the robot arm may be alleviated. Further, the pre-trained action model may obtain the basic knowledge about the association relationship between the language description and the person action, may obtain a more accurate action model, and further obtain the action of the robot arm matching the language description in a more efficient manner.
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公开(公告)号：US20250018567A1
公开(公告)日：2025-01-16
申请号：US18900502
申请日：2024-09-27
Inventor： Hanbo ZHANG , Xinghang LI , Minghuan LIU , Jie XU , Hongtao WU , Ya JING , Chilam CHEANG , Tao KONG , Hang LI
IPC: B25J9/16 , G06F40/284 , G06V10/80
Abstract: The present application discloses an information processing method, a task execution method, an apparatus, a device and a medium. The method includes: processing, through a target visual encoding model in a target analysis model, obtained image information to be analyzed, to obtain a corresponding target sequence; fusing, through a target feature fusion model in the target analysis model, the target sequence and obtained text information to be analyzed, to obtain a target fusion result; processing the target fusion result through a target task analysis model in the target analysis model to obtain target task information; and controlling the action execution apparatus to perform an action corresponding to the target task information. The target analysis model is obtained by training an initial analysis model and the initial analysis model comprises an initial visual encoding model and an initial feature fusion model.
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公开(公告)号：US20240249430A1
公开(公告)日：2024-07-25
申请号：US18566500
申请日：2022-05-27
Inventor： Minzhao ZHU , Tao KONG , Lei LI
CPC classification number: G06T7/73 , G01C21/005 , G06T2207/10028
Abstract: The present disclosure relates to a localization method and apparatus, an electronic device, and a storage medium. The localization method comprises: acquiring a target local semantic point cloud map, a global semantic grid map, and a laser point cloud map; performing pose identification on the basis of the target local semantic point cloud map and the global semantic grid map to obtain a set of candidate poses; and determining a target pose according to the laser point cloud map and the set of candidate poses.
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公开(公告)号：US20250157202A1
公开(公告)日：2025-05-15
申请号：US18839645
申请日：2023-08-10
IPC: G06V10/778 , A47L9/28 , G06V10/764 , G06V20/58
Abstract: An image processing method, a storage medium and a computer device are provided. The method includes obtaining observation information acquired by a target robot within a target observation space, wherein the observation information includes observation images, depth images, and sensor pose information; obtaining a three-dimensional semantic distribution map based on the observation information; learning an exploration policy of the target robot based on conditions of a semantic distribution inconsistency and a class distribution uncertainty according to the three-dimensional semantic distribution map; obtaining, based on at least one condition of the semantic distribution inconsistency and the class distribution uncertainty, hard sample images from the target observation images corresponding to the exploration trajectory; adjusting a perception model of the target robot based on the hard sample images.
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公开(公告)号：US20240375287A1
公开(公告)日：2024-11-14
申请号：US18659595
申请日：2024-05-09
Inventor： Taozheng YANG , Ya JING , Hongtao WU , Kuankuan SIMA , Qie SIMA , Tao KONG
IPC: B25J9/16
Abstract: Embodiments of the disclosure relate to a method and apparatus for controlling a robot, a device, a robot, and a medium. The method for controlling a robot according to the embodiments of the disclosure includes determining, based on a real-time image captured by the robot at a first moment, a reference motion parameter and a reference control force corresponding to the real-time image. The method further includes determining a target pose and a target control force of the robot at a second moment after the first moment according to the reference motion parameter and the reference control force. The method further includes determining a target action of the robot at the second moment according to the target pose and the target control force.
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