Abstract: A processor-implemented method includes updating a dynamic scene graph by adding, to the dynamic scene graph, object-level history information corresponding to a target object, of which a state changes according to an interaction with a robot that occurs through an execution of an instruction for a task of a target robot, and controlling the target robot based on the updated dynamic scene graph, in response to receiving a target instruction corresponding to the target object.

Abstract: An electronic device: acquires a prompt that describes a task for a robot to perform in a predefined space; generates, by a first machine-learning-based model, based on a scene graph corresponding to the predefined space and the prompt being inputted thereto, a first task plan; based on the first task plan not being able to satisfy the task, provide the first machine-learning-based model with a request to extract a relevant node to the task from among nodes of the scene graph; generates a candidate node by a second machine-learning-based model, based on additional modal data of the relevant node and a node generation request based on the additional modal data being inputted to the second machine-learning-based model; and generates a second task plan for the robot to perform the task by inputting the candidate node and the prompt to the first machine-learning-based model.

Abstract: A method and device with image feature generation are provided. The method includes extracting a reference feature of a reference frame image, among a plurality of frame images, using a feature extraction model, generating partial compression information corresponding to a portion of a target frame image, where the portion of the target frame has a determined difference with a corresponding portion of the reference frame image that is greater than or equal to a predetermined threshold, generating a compression feature from the generated partial compression information using a feature derivation model, and generating, based on the reference feature and the compression feature, a target feature of the target frame image.

Abstract: The lighting module includes: a case including an opening from which light is emitted, a base portion corresponding to the opening, and a seat on at least one side of the base portion; a light source unit disposed on the seat; a light guide plate placed within the case and optically connected with the light source unit; and a diffusing plate placed within the case and placed below the light guide plate, wherein the lighting source unit includes a substrate, a plurality of light emitting diodes (LEDs) disposed on the substrate, and a sub-reflector which is disposed on the substrate and covers the plurality of the LEDs, and wherein at least 90% of the light emitted from the LEDs is directly irradiated onto the light guide plate.

Abstract: The lighting module includes: a case including an opening from which light is emitted, a base portion corresponding to the opening, and a seat on at least one side of the base portion; a light source unit disposed on the seat; a light guide plate placed within the case and optically connected with the light source unit; and a diffusing plate placed within the case and placed below the light guide plate, wherein the lighting source unit includes a substrate, a plurality of light emitting diodes (LEDs) disposed on the substrate, and a sub-reflector which is disposed on the substrate and covers the plurality of the LEDs, and wherein at least 90% of the light emitted from the LEDs is directly irradiated onto the light guide plate.

Abstract: A lighting module includes a case including an opening where a light emits from, a base portion corresponding to the opening, and a seat on at least one side of the base portion. The lighting module further includes a light source unit disposed on the seat, a light guide plate placed within the case and optically connected with the light source unit, and a diffusing plate placed within the case and placed below the light guide plate.