Cloudminds (shanghai) Robotics Co., Ltd.

Cloudminds (shenzhen) Robotics Systems Co., Ltd.

Cloudminds Robotics Co., Ltd.

Cloudminds (beijing) Technologies Co., Ltd.

Cloudminds (shanghai) Robotics Systems Co., Ltd.

Beijing Cloudoptek Technology Co., Ltd.

William Xiao-Qing Huang

Yong Zhang

Tao Zhang

Haitao Jiang

Zhenkai Wang

Lei Luo

Cheng Luo

Jian Zhang

Haotian Cui

Xunge Yan

Fang Chen

Shenhua Xu

Zhe Zhang

Yuanping Cai

Qiang Li

Qiulin Wang

Zhenping Guo

Karl Zhao

Shikui Ma

Yufeng Zhang

Silvio Savarese

Shenglin Qiu

Lianzhong Li

Xiaoli Fern

Charles Robert Jankowski, Jr

Xubin Wei

A robot waist skeleton includes: a swing waist effector; a first bracket, one end of which is connected to an output end of the swing waist effector; a bend waist effector, a case of which is connected to the other end of the first bracket; a second bracket, one end of which is connected to the case of the swing waist effector; a rotate waist effector, an output end of which is connected to the other end of the second bracket; and a third bracket, one end of which is connected to a case of the swing waist effector.

Robot waist skeleton and robot

A human augmented robotics intelligence operation system can include a plurality of robots, each robot having a plurality of sensors; a robot control unit; and one or more articulating joints; a cloud-based robotic intelligence engine having; a communication module; a historical database; and a processor; and a human augmentation platform. The processor can be configured to make a probabilistic determination regarding the likelihood of successfully completing the particular user command. When the probabilistic determination is above a pre-determined threshold, the processor sends necessary executable commands to the robot control unit. Alternatively, when the probabilistic determination is below the predetermined threshold, the processor generates an alert and flags the operation for human review.

Human augmented cloud-based robotics intelligence framework and associated methods

The embodiment of the present application relates to the field of substance ingredient detection, for example, relates to a substance ingredient detection method and apparatus, and a detection device. The method includes: obtaining spectral information of a substance to be detected; and matching the spectral information with a pre-obtained prediction model based on a machine learning algorithm to obtain the ingredients of the substance to be detected. In the embodiment of the present application, the spectral information of the substance to be detected is obtained, and then the spectral information is matched with the prediction model based on the machine learning algorithm to obtain the prediction result of the ingredients of the substance to be detected. In the embodiment of the present application, the machine learning algorithm is combined with spectral recognition, the traditional algorithm is abandoned, the recognition speed is improved, and the substance detection efficiency is greatly improved.

Substance ingredient detection method and apparatus, and detection device

A data annotation apparatus for machine learning is provided, which includes a stimulus generation portion, a biometrics reading portion, and a data integration portion. The stimulus generation portion is configured to generate, and present to an agent, at least one stimulus based on a first data from a first machine learning dataset. The biometrics reading portion is configured to measure at least one response of the agent to the at least one stimulus, and to generate biometrics data based on the at least one response. The data integration portion is configured to integrate the biometrics data, data of the at least one stimulus, and data of the first machine learning dataset to thereby obtain a second machine learning dataset. The data annotation apparatus can result in an improved data labeling and an enhanced machine learning.

Data annotation method and apparatus for enhanced machine learning

This application relates to the field of visual navigation technology, and discloses a localization method, apparatus, robot and computer storage medium. The localization method is applied to a robot having an autonomous location and navigation function. The localization method includes: determining that localization through an image of surrounding environment fails in a process of driving to a preset distance, and controlling the robot to decelerate and perform localization through an image of surrounding environment in a process of deceleration until the localization succeeds. The localization method enables the robot to reasonably adjust its running velocity in accordance with the environment during driving, thereby accurately localizing the location where the robot is located.

Localization method and apparatus, and robot and computer readable storage medium

The present disclosure provides a method and an apparatus for configuring a resource, a network device, and a storage medium. The method includes: determining a set of network devices that corresponds to each over-the-air area and that provides a network service for the over-the-air area, where the set of network devices includes an identifier of a network device satisfying a condition for providing a network service for the over-the-air area; determining, according to the set of network devices, a target network device providing a network service for a plurality of over-the-air areas, and a beam sequence used by the target network device; generating pilot configuration information for configuring a pilot sequence for the beam sequence of the target network device; and sending the pilot configuration information to the target network device.

Method and apparatus for configuring resource for network devices serving over-the-air areas

A network diagnosis method, a cloud intelligent robot, a network device and a private network, relate to the technical field of communications, and are used for solving the technical problems of having low diagnosis efficiency and leakage risk for a private network in the prior art. The method comprises: an cloud intelligent robot transmitting a network monitoring instruction to a network device in a private network; receiving operation information transmitted by the network device according to the network monitoring instruction; diagnosing the network device according to the operation information to obtain a diagnosis result; and initiating a network configuration information update of the private network according to the diagnosis result.

Network diagnosis method, cloud intelligent robot, network device and private network

The present disclosure provides a frequency selection method, a random access method, and an apparatus. The method comprises: determining a first band set, the first band set comprising at least one first working band supported by a network side device, and the first working band comprising at least one uplink frequency range and at least one downlink frequency range; and broadcasting the first band set, so that the terminal determines, according to the first band set, the at least one uplink frequency range and the at least one downlink frequency range comprised in the first working band supported by the network side device.

Frequency selection method, random access method and apparatuses

The present disclosure provides a method and an apparatus for controlling a network device, a method and an apparatus for sending control information, and a method and an apparatus for data. According to technical solutions provided in the present disclosure, network devices providing network services for different over-the-air areas are scheduled to different time grids, so that the terminal devices located in different over-the-air areas send data to respective corresponding network devices within different time grids, thereby avoiding signal interference and improving network quality.

Method and apparatus for controlling network devices providing network services for a plurality of over-the-air areas

A data transmission method, a resource scheduling method, a terminal, and a network-side device are provided. The data transmission method includes: sending, to a network-side device, an operating band information list supported by the terminal and capability indication information indicating whether the terminal supports simultaneous data sending and receiving on an operating band in the operating band information list, where the operating band information list is used by the network-side device to determine an actual operating band of the terminal, and the capability indication information is used by the network-side device to determine a scheduling strategy for the terminal; and performing, when the terminal has a data service requirement, data transmission based on the actual operating band determined by the network-side device and including the at least one pair of an uplink and a downlink frequency range, and scheduling information corresponding to the scheduling strategy determined by the network-side device.

Data transmission method and apparatus, resource scheduling method and apparatus, terminal, and network-side device

The present invention discloses a resource scheduling method and apparatus, and a base station. The method is applied to a dual connectivity scenario, in the dual connectivity scenario, a terminal respectively establishes a communication connection with a master serving base station and a slave serving base station, the method is applied to the master serving base station, and the method includes: obtaining terminal capability information, wherein the terminal capability information includes basic capability information and dynamic capability information; and sending the terminal capability information to the slave serving base station, so that the slave serving base station determines terminal resources to be scheduled on request according to the terminal capability information.

Resource scheduling method and apparatus, and base station

The present disclosure provides a random access method and apparatus. The method comprises: receiving random access resource selection criterion information and random access resource information broadcasted by a network side device; determining, from the random access resource information, target random access resource information corresponding to the random access resource selection criterion information; and initiating a random access request to the network side device according to the target random access resource information.

Random access method and apparatus

Disclosed in the present disclosure are a cell handover method and apparatus. The method comprises: sending measurement configuration information to a terminal to be handed over, wherein the measurement configuration information comprises beam configuration information; after the terminal measures neighboring cells according to the measurement configuration information, receiving beam measurement results sent by the terminal according to the beam configuration information; and determining, according to the beam measurement results, a target cell to which the terminal is to be handed over, and handing over the terminal to the target cell by means of a target network device.

Cell handover method and apparatus

The present disclosure provides a method and an apparatus for cell reselection. The method includes: receiving threshold information for enabling cell reselection measurement sent by a network side device, where the threshold information for enabling cell reselection measurement includes at least one power threshold for enabling cell reselection measurement and corresponding preset speed range information, the preset speed range information being used to indicate a movement speed range of a preset terminal; obtaining a movement speed of the terminal and a first received power measurement value of a downlink reference signal received by the terminal in a cell to be camped on; and determining, according to the movement speed, the threshold information for enabling cell reselection measurement, and the first received power measurement value, whether to enable the cell reselection measurement.

Method and apparatus for cell reselection

A method and apparatus for configuring neighbor cells, and a storage medium are provided. The method comprises: determining neighbor cell information, and sending the neighbor cell information to a terminal, the neighbor cell information being configured to instruct the terminal to determine neighbor cells corresponding to a height level or height range at which the terminal is located.

Growing community of inventors

Shenzhen, China

William Xiao-Qing Huang