公开(公告)号：US20230147274A1

公开(公告)日：2023-05-11

申请号：US17903364

申请日：2022-09-06

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Woo Han YUN ,  Do Hyung KIM ,  Jae Hong KIM ,  Tae Woo KIM ,  Chan Kyu PARK ,  Ho Sub YOON ,  Jae Yeon LEE ,  Min Su JANG

IPC: G06V20/68 ,  G06V10/25 ,  G06V10/20

CPC classification number: G06V20/68 ,  G06V10/25 ,  G06V10/255 ,  G06V2201/07 ,  G06Q50/12

Abstract: Disclosed herein a method and apparatus for recommending a table service based on image recognition. According to an embodiment of the present disclosure, there is provided a method for recommending a table service, including: receiving a table image that is captured in real time; acquiring, by using an artificial intelligence of a pre-learned learning model, table information that includes object information and food information of at least one table in the table image; and recommending, based on the table information, a service for each of the at least one table.

公开(公告)号：US20230142797A1

公开(公告)日：2023-05-11

申请号：US17941892

申请日：2022-09-09

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Tae Woo KIM ,  Jae Hong KIM ,  Chan Kyu PARK ,  Woo Han YUN ,  Ho Sub YOON ,  Min Su JANG

IPC: G06N20/00 ,  B25J9/16

CPC classification number: G06N20/00 ,  B25J9/163 ,  B25J9/1605

Abstract: Disclosed herein a method and apparatus for learning a locally-adaptive local device task based on cloud simulation. According to an embodiment of the present disclosure, there is provided a method for learning a locally-adaptive local device task. The method comprising: receiving observation data about a surrounding environment recognized by a local device; performing a domain randomization based on the observation data and a failure type of a task assigned to the local device and relearning a policy network of the assigned task based on the domain randomization; and updating a policy network of the local device for the assigned task by transmitting the relearned policy network to the local device.

公开(公告)号：US20140107842A1

公开(公告)日：2014-04-17

申请号：US14021983

申请日：2013-09-09

Applicant: Electronics and Telecommunications Research Institute

Inventor： Young Woo YOON ,  Do Hyung KIM ,  Woo Han YUN ,  Ho Sub YOON ,  Jae Yeon LEE ,  Jae Hong KIM ,  Jong Hyun PARK

IPC: G05D1/02 ,  G06K9/00

CPC classification number: G05D1/0231 ,  G05D1/0248 ,  G06K9/00342 ,  G06T7/20 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: Provided are a human-tracking method and a robot apparatus. The human-tracking method includes receiving an image frame including a color image and a depth image, determining whether user tracking was successful in a previous image frame, and determining a location of a user and a goal position to which a robot apparatus is to move based on the color image and the depth image in the image frame, when user tracking was successful in the previous frame. Accordingly, a current location of the user can be predicted from the depth image, user tracking can be quickly performed, and the user can be re-detected and tracked using user information acquired in user tracking when detection of the user fails due to obstacles or the like.

Abstract translation: 提供了人类跟踪方法和机器人装置。 人体跟踪方法包括接收包括彩色图像和深度图像的图像帧，确定用户跟踪在先前图像帧中是否成功，以及确定用户的位置和机器人装置要移动的目标位置 基于图像帧中的彩色图像和深度图像，当用户跟踪在前一帧中成功时。 因此，可以从深度图像预测用户的当前位置，可以快速执行用户跟踪，并且可以使用用户跟踪中获取的用户信息来重新检测和跟踪用户，当用户的检测由于障碍物或者 类似。