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.

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.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

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.

Abstract: Disclosed are a fault diagnosis method, device and apparatus, and a readable storage medium in the disclosure. The method includes: obtaining log files of an RAID card in a server to be monitored; determining whether the RAID card and a hard disk managed by the RAID card have a fault according to a fault diagnosis rule base and the log files of the RAID card, and providing a fault processing solution by using the fault diagnosis rule base when a fault is determined to exist, where the fault diagnosis rule base is established by analyzing historical faults of the RAID card and the hard disk managed by the RAID card in advance; and outputting a log file that determines that the RAID card and/or the hard disk managed by the RAID card has a fault, and the fault processing solution.

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.

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.

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.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Provided are a point cloud segmentation method and apparatus, a device, and a storage medium. The point cloud segmentation method includes: acquiring a to-be-processed point cloud; obtaining, in a gridding scenario space to which respective point in the point cloud belongs, a target grid corresponding to the respective point through a pre-trained neural network, wherein the pre-trained neural network is obtained by training a sample point cloud and a sample target grid corresponding to the sample point cloud in a sample gridding scenario space; and outputting a point cloud corresponding to a respective instance according to an instance category corresponding to the target grid, wherein the same target grid has the same instance category.

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.

Abstract: A food processor combines steaming of food on a support, and blending. The support is rotated about the same shaft as the blender blade, to release the food on the support centrifugally so that it drops to the blender blade. This enables an automated process with optimized steaming and blending.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Disclosed is a method for continuously producing polyaluminum chloride from aluminum slag, comprising: blending the aluminum slag with water into a slurry in a mixing tank; pumping the slurry and a sodium hydroxide solution into a first mixing reactor; introducing the mixture obtained in the first mixing reactor into a second mixing reactor and pumping hydrochloric acid into the second mixing reactor; and filtering the resulting mixture and allowing filtrate for ripening, polymerization and sedimentation to obtain liquid polyaluminum chloride; wherein each of the reactors is pipeline-shaped, arranged horizontally and provided with a spiral conveyor shaft inside which is arranged horizontally and configured to stir and convey the mixture in a pipeline. This method realizes a continuous treatment of aluminum slag together with a continuous recovery of ammonia nitrogen and produces PAC, thereby achieving resourceful utilization and improved operability.

Abstract: Embodiments of the present disclosure provide a method for temperature detection. The method comprises obtaining a sensed temperature from a sensor, the sensor being in a mounted mode where the sensor is thermally radiated by a variable heat source and a fixed heat source; determining a temperature change rate of the sensor and at least one affecting factor that affects temperature sensing of the sensor; and determining a temperature of the variable heat source based on the sensed temperature, the temperature change rate, and the affecting factor. According to the method of the present disclosure, the temperature of the variable heat source such as an ambient temperature can be obtained or determined without a dedicated sensor and cables. With this method, the ambient temperature can be determined by a sensor for sensing a temperature of a heating element such as a battery, a control unit or the like.

Abstract: Method and apparatus for load balancing in a Cloud-radio access network (C-RAN) are disclosed. A method includes receiving control plane (CP) data associated with a user from a core network or a remote access point; and dispatching the CP data to a first user equipment (UE) virtualized network function component (VNFC) based on a first route.

Abstract: An example apparatus for mining multi-scale hard examples includes a convolutional neural network to receive a mini-batch of sample candidates and generate basic feature maps. The apparatus also includes a feature extractor and combiner to generate concatenated feature maps based on the basic feature maps and extract the concatenated feature maps for each of a plurality of received candidate boxes. The apparatus further includes a sample scorer and miner to score the candidate samples with multi-task loss scores and select candidate samples with multi-task loss scores exceeding a threshold score.

Abstract: Region proposal is described for image regions that include objects of interest. Feature maps from multiple layers of a convolutional neural network model are used. In one example a digital image is received and buffered. Layers of convolution are performed on the image to generate feature maps. The feature maps are reshaped to a single size. The reshaped feature maps are grouped by sequential concatenation to form a combined feature map. Region proposals are generated using the combined feature map by scoring bounding box regions of the image. Objects are detected and classified objects in the proposed regions using the feature maps.

Abstract: A composition suitable for a negative plate of lead-acid battery includes (a) a lead-based active material; (b) at least one material selected from the group consisting of a lignosulfonate and barium sulfate; and (c1) carbon black particles having a Brunauer-Emmett-Teller (BET) surface area greater than or equal to 90 m2/g and less than or equal to 900 m2/g, and an oil adsorption number (OAN) greater than or equal to 150 mL/100 g and less than or equal to 300 mL/100 g, or (c2) carbon black particles having a BET surface area greater than or equal to 40 m2/g and less than or equal to 500 m2/g, and graphenes particles. The composition has a theoretical negative active mass (NAM) BET surface area greater than or equal to 0.75 m2/g and less than or equal to 2 m2/g. The compositions can be used in electrodes, e.g., those used in lead-acid batteries.

Abstract: A food processor combines steaming of food on a support, and blending. The support is rotated about the same shaft as the blender blade, to release the food on the support centrifugally so that it drops to the blender blade. This enables an automated process with optimized steaming and blending.