International Business Machines Corporation

Cloudminds Robotics Co., Ltd.

Cloudminds (beijing) Technologies Co., Ltd.

Cheng Luo

Haotian Cui

Xunge Yan

Shaw-Ben Shi

Meng Hong Tsai

William Xiao-qing Huang

Lan Cao

Yu Chen Zhou

Miao Liu

Yu Zheng

Xiao Bi Liang

Wayne B Riley

Wen Guo

Chu Yun Tong

Jun Qian

Yi Xin Song

Cheng Cheng Dong

Qingyan Wang

Yang Liu

Ke Zhang

Xiao Liang Hu

Xinlin Wang

Xi Ning Wang

Lei He

William Xiao-Qing Huang

Shun Xiang Yang

Shiwen He

Yuan Yuan Jia

Xiao Ming Hu

Yufeng Zhang

Shao Rong Il Li

Yuanping Cai

A system may port a data model into a strict schema system, translate the data model into a transformation rule definition, fit the transformation rule definition to a transform action, receive strict schema data, perform the transform action on the strict schema data based on the transformation rule definition to form rough data, and execute filtering and enriching operations on the rough data to form loose schema data.

Transforming data of strict schema structure database

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

Methods, apparatus, computer program products Geohash-based traffic management are provided. The method comprises receiving, by one or more processing units, respective operating status data of one or more vehicles travelling within a Geohash cell; generating, by one or more processing units, one or more service messages based on the received respective operating status data according to one or more service specifications; and providing, by one or more processing units, at least one of the one or more service messages responsive to a request from a vehicle travelling within the Geohash cell.

Geohash-based traffic management

A computer-implemented method includes analyzing, by a processing unit, a relational database to discover a plurality of static relationships between a plurality of data fields captured in two or more tables. The processing unit can discover a plurality of entity relationships based on observing application-generated queries and results of accessing the relational database in response to one or more test triggers. The processing unit can build one or more relation graphs based on the static relationships and the entity relationships to link a plurality of nodes with one or more edges that define at least one relationship between the nodes. One or more class graphs are formed having a reduced number of edges than the one or more relation graphs. The processing unit can generate one or more result data graphs using the one or more class graphs as a graph database model of the relational database.

Extraction of relationship graphs from relational databases

A method, system and computer program product for processing metrics data with graph data context analysis. Graph data representing one or more devices or sensors is stored into a first database, and metrics data generated by the devices or sensors is stored in a second database. The metrics data is then applied to the graph data for the context analysis, wherein the context analysis reflects the relationships of the devices or sensors in the graph data to the metrics data generated by the devices or sensors. The graph data comprises nodes for representing the devices or sensors, edges for representing a topology of the devices or sensors, and properties for storing the metrics data associated with the nodes and edges; and the metrics data comprises time-series data that is logged by the devices and sensors.

Processing metrics data with graph data context analysis

A robot wrist structure includes: a case, a first motor, a second motor, a first transmission mechanism, a second transmission mechanism, a first driving bevel gear, a second driving bevel gear, a driven bevel gear, a retaining fame, and an output connecting member; wherein the first motor and the second motor are mounted on the case, the first driving bevel gear, the second driving bevel gear and the driven bevel gear are respectively rotatably mounted in the retaining frame, the first driving bevel gear and the second driving bevel gear are both in mesh with the driven bevel gear, the first motor is connected to the first driving bevel gear by the first transmission mechanism, the second motor is connected to the second driving bevel gear by the second transmission mechanism, and the output connecting member is fixedly connected to the driven bevel gear.

Robot wrist structure and robot

A robot includes a robot torso, a robot arm, a main controller, and a plurality of bundles of cables; wherein a plurality of shoulder effectors are configured to drive the robot arm to move are disposed on the robot torso, a plurality of arm effectors that are relatively movable are disposed in sequence on the robot arm, and the main controller is disposed on the robot torso and configured to control a corresponding effector to operate, such that the robot arm has a plurality of degrees of freedom; any adjacent two of the main controller, the plurality of shoulder effectors, and the plurality of arm effectors are electrically connected by a cable bundle, each of the plurality of bundles of cables is disposed on an outer surface of the shoulder effector or the arm effector which the bundle of cables travels through.

Robot

A caster module includes: an omni wheel, provided with an shaft groove; and an effector, received in the shaft groove, a case of the effector being rotatable relative to an inner wall of the shaft groove, and an output end of the effector being connected to the omni wheel and configured to drive the omni wheel to rotate.

Caster module and robot

A robot manipulator includes: an arm body; a wrist effector, connected to the arm body; a multi-degree-of-freedom (DOF) connecting device, rotatably connected to the wrist effector; and a grabber, connected to the multi-DOF connecting device, wherein the multi-DOF connecting device is configured to receive a power output by the wrist effector and drive the grabber to rotate.

Robot manipulator and robot

A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Graph-based searching for data stream

An approach for recommending activating a safety feature on a mobile device in a vehicle. The approach includes collecting sound characteristics. Furthermore, determining if the mobile device is moving faster than a predetermined velocity and invoking grouping service on a server. The approach determines the number of the mobile device in the vehicle and determines which one of the one or more of the mobile devices belongs to the user operating the vehicle and activating a safe drive mode feature on the mobile device belonging to the user of the vehicle.

Identifying location of mobile phones in a vehicle

A computer-implemented method includes receiving a data stream and dividing the data stream into one or more data artefacts for one or more time intervals. The computer-implemented method further includes generating one or more contexts. Each of the one or more contexts are for at least one of the one or more time intervals. The computer-implemented method further includes storing each of the one or more data artefacts in shared storage. The shared storage is accessible for each of the one or more contexts. The computer-implemented method further includes, for each context of the one or more contexts: determining a dependency for the context; monitoring the context for a completion of said dependency; and responsive to the completion, releasing the dependency. The computer-implemented further includes removing those of the one or more data artefacts that do not belong to the dependency for any of the one or more contexts.

Growing community of inventors

Beijing, China

Cheng Luo