Abstract: A product inspection apparatus including a camera configured to capture an image of a product to be inspected; and a processor configured to extract defect information from a defect indicated by the captured image of the product, generate first virtual defect data including at least one of a location, a size and a shape of the defect included in the captured image, based on the extracted defect information, generate second virtual defect data by synthesizing the first virtual defect data with non-defect data representing the product without the defect, and generate final virtual defect data by inputting the second virtual defect data to an artificial intelligence generative model.

Abstract: A plurality of images captured using a camera included in a robotic system are analyzed. A spatial map is generated using a sensor included in the robotic system. A semantic location map is generated using at least the analyzed plurality of captured images and the generated spatial map. A natural language input referencing a desired product item is received from a user. A speech recognition result is recognized from the natural language input and sent to a reasoning engine. In response to sending the recognized speech recognition result, one or more commands for the robotic system are received from the reasoning engine. The received one or more commands are performed and feedback to the user based on at least one of the one or more commands is provided.

Abstract: A system comprises a motor and a base. The motor is configured to control the physical movement of the system and the base is configured to be coupled with a computing device. The computing device is configured to receive an indication of a target object and detect an obstacle object in a physical environment of the system. In response to detecting an obstacle object, the computing device provides to a user an inquiry associated with the detected obstacle object and receives a natural language response. Based at least in part on the natural language response, the computing device controls the motor to navigate the system around the detected obstacle object. Once the target object is detected, the computing device provides an indication that the target object has been located.

Abstract: A plurality of images captured using a camera included in a robotic system are analyzed. A spatial map is generated using a sensor included in the robotic system. A semantic location map is generated using at least the analyzed plurality of captured images and the generated spatial map. A natural language input referencing a desired product item is received from a user. A speech recognition result is recognized from the natural language input and sent to a reasoning engine. In response to sending the recognized speech recognition result, one or more commands for the robotic system are received from the reasoning engine. The received one or more commands are performed and feedback to the user based on at least one of the one or more commands is provided.