Reconfigurable joint track compound mobile robot

    公开(公告)号:US11235821B2

    公开(公告)日:2022-02-01

    申请号:US16976922

    申请日:2018-12-31

    Abstract: A reconfigurable joint track compound mobile robot has a main vehicle body, yaw joints and an auxiliary track module. The main vehicle body has a main track, and a clutch brake and a first wheel joint arranged in a main track driving wheel. A second wheel joint is arranged in a main track driven wheel. The main vehicle body is provided with main track driving mechanisms and a wheel joint driving mechanism. The main track driving wheel is driven to rotate by the main track driving mechanisms, which are connected with the clutch brake. The second wheel joint is driven to rotate by the wheel joint driving mechanism. Each wheel joint is correspondingly connected with the yaw joints, which are rotatably connected with the auxiliary track module. A yaw driving mechanism that drives the auxiliary track module to swing is arranged in each yaw joint.

    WATER-AIR AMPHIBIOUS CROSS-MEDIUM BIO-ROBOTIC FLYING FISH

    公开(公告)号:US20210354800A1

    公开(公告)日:2021-11-18

    申请号:US17279099

    申请日:2020-04-16

    Abstract: A water-air amphibious cross-medium bio-robotic flying fish includes a body, pitching pectoral fins, variable-structure pectoral fins, a caudal propulsion module, a sensor module and a controller. The caudal propulsion module is controlled to achieve underwater fish-like body-caudal fin (BCF) propulsion, and the variable-structure pectoral fins is adjusted to achieve air gliding and fast splash-down diving motions of the bio-robotic flying fish. The coordination between the caudal propulsion module and the pitching pectoral fins is controlled to achieve the motion of leaping out of water during water-air cross-medium transition. The ambient environment is detected by the sensor module, and the motion mode of the bio-robotic flying fish is controlled by the controller.

    BIOMIMETIC ROBOTIC MANTA RAY
    24.
    发明申请

    公开(公告)号:US20210309332A1

    公开(公告)日:2021-10-07

    申请号:US17278335

    申请日:2020-04-16

    Abstract: A biomimetic robotic manta ray includes a head cabin, a central cabin, a pair of pectoral fins and a caudal fin cabin. The pectoral fin includes a crank-rocker mechanism and a bevel gear mechanism. The biomimetic robotic manta ray achieves undulatory propulsion through a coordinated periodic motion of the crank-rocker mechanism. A complex closed motion trail of the tail end of the pectoral fin of the manta ray is traced through the coordination of the bevel gear mechanism and the crank-rocker mechanism. The biomimetic robotic manta ray achieves a combined motion of two vertical undulations superimposed on the pectoral fin of a natural manta ray. The motion trail, which has an important effect on the efficient motion of the manta ray, of the tail end of the pectoral fin is approximately simulated.

    Security processing unit of PLC and bus arbitration method thereof

    公开(公告)号:US11132468B2

    公开(公告)日:2021-09-28

    申请号:US16316205

    申请日:2018-06-07

    Abstract: The present invention relates to a security processing unit of PLC and a bus arbitration method thereof, to provide PLC with an active defense means to build a PLC hardware and software security layer. On a hardware security layer, a part of hardware processing mechanism is added to support trusted measurement, encryption algorithms and signature algorithms, and a virtual isolation technology is used; and on a software security layer, transparent encryption and decryption, integrity verification, backup recovery and virtual isolation security mechanism are provided. The security processing aspect is improved to achieve the purpose of security and reliability. The present invention can correctly establish a trusted environment of PLC to ensure that PLC is guided by a strictly verified path. A new star type trusted structure is designed to reduce loss during information transmission and increase information transmission efficiency.

    Folding and unfolding space shelf
    26.
    发明授权

    公开(公告)号:US11008164B2

    公开(公告)日:2021-05-18

    申请号:US16957721

    申请日:2018-12-20

    Abstract: A folding space shelf has a lower backplane and an upper backplane that are connected by one or more hinges, and a pair of top crossbeams and a pair of upper stringers. Each top crossbeam has a first end hinged to an upper portion of the upper backplane and a second end rotatably connected to one of the pair of upper stringers. It further contains a pair of bottom crossbeams and a pair of bottom stringers. Each bottom crossbeam has a first end hinged to a lower portion of the lower backplane and a second end rotatably connected to one of the pair of bottom stringers. The folding space shelf also contains a pair of middle stringers, each having a first end connected to one of the pair of upper stringers and a second end hinged to one of the pair of the bottom stringers.

    Refined segmentation system, method and device of image shadow area

    公开(公告)号:US10964026B2

    公开(公告)日:2021-03-30

    申请号:US16968575

    申请日:2019-04-19

    Abstract: A refined segmentation system, method and device of an image shadow area are provided. The system of the present invention includes: a feature extraction network, a reverse fusion network, and a weighted fusion network. The feature extraction network includes a plurality of sampling layers which are arranged sequentially, a plurality of segmentation features of the shadow areas in the input images are obtained through the sampling layers sequentially. The reverse fusion network includes a plurality of layered reverse fusion branches, each of which includes a plurality of feature fusion layers arranged in sequence, and two input features are fused in sequence through each feature fusion layer. The weighted fusion network is configured to perform weighted fusion on outputs of the plurality of reverse fusion branches to obtain a final segmentation result of the shadow area of the input image.

    REFINED SEGMENTATION SYSTEM, METHOD AND DEVICE OF IMAGE SHADOW AREA

    公开(公告)号:US20210065371A1

    公开(公告)日:2021-03-04

    申请号:US16968575

    申请日:2019-04-19

    Abstract: A refined segmentation system, method and device of an image shadow area are provided. The system of the present invention includes: a feature extraction network, a reverse fusion network, and a weighted fusion network. The feature extraction network includes a plurality of sampling layers which are arranged sequentially, a plurality of segmentation features of the shadow areas in the input images are obtained through the sampling layers sequentially. The reverse fusion network includes a plurality of layered reverse fusion branches, each of which includes a plurality of feature fusion layers arranged in sequence, and two input features are fused in sequence through each feature fusion layer. The weighted fusion network is configured to perform weighted fusion on outputs of the plurality of reverse fusion branches to obtain a final segmentation result of the shadow area of the input image.

    INFORMATION PROCESSING METHOD, SYSTEM AND DEVICE BASED ON CONTEXTUAL SIGNALS AND PREFRONTAL CORTEX-LIKE NETWORK

    公开(公告)号:US20210056415A1

    公开(公告)日:2021-02-25

    申请号:US16971691

    申请日:2019-04-19

    Abstract: An information processing method based on contextual signals and a prefrontal cortex-like network includes: selecting a feature vector extractor based on obtained information to perform feature extraction to obtain an information feature vector; inputting the information feature vector into the prefrontal cortex-like network, and performing dimensional matching between the information feature vector and each contextual signal in an input contextual signal set to obtain contextual feature vectors to constitute a contextual feature vector set; and classifying each feature vector in the contextual feature vector set by a feature vector classifier to obtain classification information of the each feature vector to constitute a classification information set. An information processing system based on contextual signals and a prefrontal cortex-like network includes an acquisition module, a feature extraction module, a dimensional matching module, a classification module and an output module.

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