Dow Global Technolgoies LLC

Hesai Technology Co., Ltd.

Beijing Surgerii Robotics Company Limited

The First Affiliated Hospital of Naval Medical University

Intel Corporation

Chinese Academy of Sciences

Wuhan Institute of Virology, Cas

Siemens Aktiengesellschaft

Blue Cube IP LLC

Fluke Precision Measurement Limited

Wilmar (Shanghai) Biotechnology Research & Development Center Co., Ltd.

Chao Zhang

Prashant Dewan

Michael J Mullins

Kai Xu

Yi Zhang

Nan Wang

Hongyu Chen

Shaoqing Xiang

Yong Yang

Haiyang Yu

Hong Xu

Xiangyang Tai

Bo Yang

Yanli Feng

Shihao Qin

Linhui Wang

Zongqin Zhang

Chengwu Xiao

Shan Li

Huan Chen

Tin-Fook Ngai

Nivedita Aggarwal

Aditya Katragada

Jiasheng Li

Yang Wang

Xiaolian Hu

Yingzhe Shen

Hongyan Zhu

Hong Yao

Xin Zhao

Hong Zhang

Xiaofeng Wu

Jiawen Xiong

Xiaochun Liu

Chunxiao Lin

Tie Zhou

Tianru Wu

Biao Ma

Kenji Chen

Mohamed Haniffa

Jun Liang

Ling Ling

Zetian Cai

Boxiang Gao

Jiebin Gu

Hong Tang

Mingwei Shi

Xuqian Jiang

Hai-Rong Chen

Ji-Zheng Chen

Xin-Wen Chen

Wayne Yi Zhang

Annie Liao

Zhenbo Xu

Lulu Deng

Ping Ping Jin

Hong Feng Wu

Annie Guihong Liao

The present application relates to the field of error detection technology. An error detection method and a robot system are provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm; recognizing, based on the plurality of pose identifications, an angle identification located on the end of the operating arm, the angle identification having a position association relationship with a first pose identification of the plurality of pose identifications; determining, based on the angle identification and the plurality of pose identifications, an actual pose of the end of the operating arm; and generating, in response to the target pose and the actual pose meeting an error detection condition, a control signal related to a fault.

Error detection method and robot system based on association identification

A non-solvent two-component polyurethane artificial leather composition is provided. The polyurethane composition comprises (A) a polyurethane-prepolymer component, comprising one or more polyurethane-prepolymers prepared by reacting at least one polyisocyanate compound with at least one first polyol, wherein the polyurethane-prepolymer comprises at least two free isocyanate groups; and (B) a polyol component, comprising at least one second polyol; wherein the polyol component further comprises an encapsulated foaming agent comprising at least one foaming core phase encapsulated within an outer shell. The polyurethane leather product derived from the polyurethane composition exhibits enhanced stability, mild bubble generation and improved cost effectiveness. A polyurethane leather product prepared with said composition and the method for preparing the same are also provided.

Non-solvent 2K polyurethane artificial leather composition, artificial leather prepared with same and preparation method thereof

The present disclosure provides a method for preparing patterned graphene, and the method includes using a silicon carbide base as a solid-state carbon source, decomposing the silicon carbide under the action of high temperature and catalyst, to directly grow graphene on an insulating substrate. Through a first patterned trench and a second patterned trench in an accommodating passage, the pattern of the formed graphene can be directly controlled. Therefore, the present disclosure can accurately locate the position of the patterned graphene on the insulating substrate, it does not require transferring the graphene one more time, thereby avoiding contaminating the graphene and damaging its structure, and there is no need for photo-lithography, ion etching and other processes to treat the graphene in order to obtain patterned graphene, which further avoids damages to the graphene.

Method for preparing patterned graphene

The present application relates to the field of error detection technology. An error detection method is provided. The error detection method includes: obtaining a target pose of an end of an operating arm; acquiring a positioning image; recognizing, in the positioning image, a plurality of pose identifications located on the end of the operating arm, the plurality of pose identifications including different pose identification patterns; determining an actual pose of the end of the operating arm based on the plurality of pose identifications; and generating a control signal related to a fault in response to the target pose and the actual pose meeting an error detection condition.

Error detection method and robot system based on a plurality of pose identifications

A synthetic leather article comprising a top coating derived from an internally emulsified PUD, a barrier layer derived from an externally emulsified PUD and a 2K non-solvent PU foam layer is provided. The leather article exhibits high delamination resistance while retaining superior mechanical properties and appearance comparable with those derived from the organic solvent-based PU. A method for preparing the synthetic leather article is also provided.

Synthetic leather article and method for preparing same

A waterborne polyurethane dispersion is provided. The waterborne polyurethane dispersion is prepared by using a tri-functionality polyether polyol as part of the polyols for forming the prepolymer and a hydrophilic amino siloxane co-chain extender, and can exhibit superior performance properties such as enhanced color fastness, improved low temperature stability, good anti-stickiness, bally flex resistance, anti-abrasion and mechanical properties. A laminated synthetic leather article prepared with said waterborne polyurethane dispersion as well the method for preparing the synthetic leather article are also provided.

Waterborne polyurethane dispersion and method for preparing the same

An apparatus to verify firmware in a computing system, comprising a non-volatile memory, including firmware memory to store agent firmware associated with each of a plurality of interconnect protocol (IP) agents and version memory to store security version numbers (SVNs) included in the agent firmware, a security controller comprising verifier logic to verify an integrity of the version memory by applying a hash algorithm to contents of the version memory to generate a SVN hash, and a trusted platform module (TPM) to store the SVN hash.

Firmware verification mechanism

Lidar

The present invention provides a CD81 and OCLN double transgenic mouse and its construction method and use. The double transgenic mouse can be used to constitute acute and chronic HCV infection in a mouse model.

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Shanghai, China

Chao Zhang