A system including a drone device comprising securable compartments, each of the securable compartments lockable and configured to be unlocked by a user or a remote device is provided. The system also includes a series of sensors provided with the drone device and configured to assess health attributes of the user while the drone is positioned proximate the user and a remote computing system configured to receive sensed information from the drone device and assess health of the user, wherein the remote computing system holographically displays health attributes of the user. The drone device travels to the user to provide or receive healthcare related objects to or from the user. The series of sensors comprise at least one audio sensor and at least one video sensor configured to assess user health attributes about the user's body in a contactless manner based on both audio and visual health attribute readings.

A robot service providing system includes a table monitoring terminal associated with one of a plurality of tables in a venue, a central control terminal, and a movable waiter robot. The central control terminal includes a communication interface, a display, an operation panel, and a controller. The controller is configured to control the display to display a screen including an image including a consumable item captured by a camera of the table monitoring terminal based on image data received by the communication interface, and control the communication interface to transmit a service instruction in response to a user operation on the operation panel. The movable waiter robot is configured to move to said one of the tables based on the service instruction.

The present invention provides a facial acupoint locating method, an acupuncture method, an acupuncture robot, and a storage medium. The facial acupoint locating method includes: collecting an RGB image and a depth image of a face by using a depth camera, and generating three-dimensional point cloud data of the face based on the RGB image and the depth image; inputting the three-dimensional point cloud data of the face into a trained face segmentation model to obtain a plurality of facial feature regions, where the plurality of the facial feature regions include eyebrow regions, eye regions, a nose region, and a mouth region; and acquiring an association relationship between the plurality of the facial feature regions and key acupoint points, and determining locations of the facial acupoints based on the association relationship and the plurality of the facial feature regions.

A semantic sensing analysis system comprising a processor, a memory and at least one sensing element having a plurality of stored semantic routes and/or semantic rules wherein the processor is configured to use semantic factorization to apply a quantifiable factor or indicator based on semantic inference or analysis which is inferred based on at least one of the stored semantic routes and/or semantic rules to cause the system to perform semantic augmentation towards a user in relation with an inferred semantic identity.

Path planning and navigation for a mobile machine is disclosed. A path planning method plans a path for the mobile machine having a plurality of sensors by: receiving, from each of the sensors of the mobile machine, sensor data; creating, based on the received sensor data from each of the sensors, a plurality of local sensor layers each corresponding to the received sensor data from each of the sensors; creating a local map by integrating all the created local sensor layers; inflating the local map; creating a global costmap by fusing an inflated global map and the inflated local map; planning, according to the costmap, the path for navigating the mobile machine; and providing the planned path to the mobile machine for navigating the mobile machine using the planned path.