Shanghai University

Chongqing University

Jining University

Shaorong Xie

Jun Luo

Yan Peng

Huayan Pu

Min Wang

Yi Sun

Hengyu Li

Jiheng Ding

Yueying Wang

Jingyi Liu

Zhongjie Li

Dong Zhang

Chaoqun Duan

Jun Liu

Shunqi Zhang

Yang Liu

Yuan Liu

Jinglei Zhao

Lei Wan

Zhijiang Xie

Shuang Han

Jiajia Xie

Xiaomao Li

Zhou Su

Xuzhang Peng

Yu Sun

Peng Wang

Qi Liu

Di Zhang

Liming Xin

Dan Zhang

Yufeng Li

Xiaowei Li

Hang Yu

Jiangtao Li

Shujin Yuan

Yuanyuan Liu

Peng Jiang

Longteng Zhang

Chenhong Cao

Guiqi Zhang

Fan Shen

Xuan Fang

Wenyuan He

Wenjiang Wu

Jiyun Zhao

Qinghua Kong

Zong Li

Long Bai

Xiangfeng Luo

Yunyun Jiang

Zhibing Xu

Shouwei Gao

Mitesh Badiwala

Chuanfu Xin

Disclosed is a method for constructing a bionic binocular active visual simultaneous localization and mapping (SLAM) system. The method includes: S1, constructing a binocular active visual system, peripheral vision is simulated using a panoramic camera, a panoramic value map is constructed based on the panoramic camera, and a binocular bionic eye gaze control strategy based on the panoramic value map is proposed; S2, designing a SLAM algorithm framework which is suitable for motion of the two bionic eyes, where relative pose optimization of left and right cameras based on a Perspective-n-Point algorithm and depth calculation for binocular matching points based on triangulation are adopted in a SLAM tracking thread; and S3, with the assistance of camera poses estimated by the SLAM system and sparse landmark point coordinates, training a self-supervised depth estimation network, to provide dense depth estimation for a mapping module of the SLAM system, achieving dense mapping.

Self-supervised image depth estimation method based on channel self-attention mechanism

The present disclosure relates to the technical field of decision-making of unmanned surface vehicles, and provides a brain-like memory-based environment perception and decision-making method and system for an unmanned surface vehicle. The method includes: obtaining an image of an environment in front of an unmanned surface vehicle; and inputting the image of the environment into an environment perception and decision-making model of the unmanned surface vehicle, and outputting an action instruction, where the environment perception and decision-making model of the unmanned surface vehicle includes an image feature extractor, a Bidirectional Encoder Representations from Transformers (BERT) model, a fully connected layer, a short-term scene memory module, and a long-term memory module that are connected in turn; the BERT model extracts an image feature representation containing a text feature from an image feature. The present disclosure improves accuracy of decision-making of an action.

Brain-like memory-based environment perception and decision-making method and system for unmanned surface vehicle

The present disclosure discloses a Stewart vibration isolation platform with Macro Fiber Composite (MFC) plates. The vibration isolation platform includes: an upper load platform, a lower foundation platform, a controller, and a plurality of single-leg vibration isolation unit groups arranged between the upper load platform and the lower foundation platform. Each of the single-leg vibration isolation unit groups includes two single-leg vibration isolation units. The single-leg vibration isolation unit includes a first diaphragm spring and a second diaphragm spring. An MFC actuator and an MFC sensor are respectively arranged on two sides of the first diaphragm spring and the second diaphragm spring. The MFC actuators and the MFC sensors are all connected to the controller.

Stewart vibration isolation platform with macro fiber composite plates and control method thereof

The present disclosure provides an auto focus (AF) method and system for an electro-hydraulic (EH) lens with an adjustable focus, and an electronic device, and relates to the field of lens focusing technologies. The method mainly includes: determining a state space, an action space, and a reward function of a reinforcement learning (RL) method; constructing sample data based on the foregoing determined state space, action space, and reward function, and storing the sample data in an experience pool; and using sample data in the experience pool as training data of a deep neural network (DNN) architecture when there are M sets of the sample data in the experience pool, and obtaining a trained AF policy with reference to a deep deterministic policy gradient (DDPG) algorithm and a single hill climbing optimization (HCO) algorithm.

Auto focus (AF) method and system for electro-hydraulic (EH) lens with adjustable focus, and an electronic device

Disclosed is an active positioning method for bionic binocular vision during execution of a simultaneous localization and mapping (SLAM) task. The method includes: capturing a panoramic image using a panoramic camera and detecting key scene information; assigning values to pixels in the panoramic image to obtain a panoramic value map; projecting field-of-view areas of left and right bionic eye cameras separately onto the panoramic value map, to obtain a current binocular field-of-view projection area; calculating a mean value of the current binocular field-of-view projection area in the panoramic value map; comparing the mean value of the current binocular field-of-view projection area with a value threshold, and obtaining a binocular field-of-view projection area with a mean value higher than the value threshold by moving the binocular bionic cameras; and finally using a high-value image captured by the left and right bionic eye cameras as an input of a SLAM system.

Active positioning method for bionic binocular vision during execution of SLAM task

The present disclosure discloses an electro-hydraulic varifocal lens-based method for tracking a three-dimensional (3D) trajectory of an object by using a mobile robot. By modeling an optical imaging system, a functional relation between a focusing control current of an electro-hydraulic varifocal lens and an optimal imaging object distance is obtained. Based on this functional relation, depth information of the object in focus with respect to a mobile robot camera and an average velocity of the objective within a time interval with respect to a previous moment can be obtained. With this information, 3D coordinates and motion trajectory of the object in a camera coordinate system can be calculated. At the same time, the mobile robot locates positions and attitudes in a world coordinate system in real time, and transforms the 3D coordinates of the tracked object from the camera coordinate system to the world coordinate system.

Electro-hydraulic varifocal lens-based method for tracking three-dimensional trajectory of object by using mobile robot

An endogenic protection method for function security and network security of a sensing and decision-making module of an intelligent connected vehicle, including the following steps: designing and implementing four sensing and decision-making units having the same function and a certain degree of heterogeneity, and deploying same on a vehicle; the four units respectively deducing real-time vehicle control decision-making results according to sensed information; an arbiter performing accurate arbitration and approximate arbitration according to decision-making results of three of the sensing and decision-making units; and finally, according to different decision-making results of the arbiter, the vehicle executing a CAN command, or replacing an anomalous unit and performing arbitration again, or operating according to a failure mode until the vehicle stops. Said method provides, by using the idea of endogenic security, an intelligent connected vehicle with a new solution for enhancing function security and network security in an integrated manner.

Endogenic protection method for function security and network security of sensing and decision-making module of intelligent connected vehicle

A method and system for controlling multi-unmanned surface vessel (USV) collaborative search are disclosed which relate to the technical field of the marine intelligent USV collaborative operation. The method includes determining a task region of a USV team; determining environmental perception information corresponding to each of the USVs at the current moment according to the task region and the probability graph mode; inputting the environmental perception information corresponding to each of the USVs at the current moment into the corresponding target search strategy output model respectively to obtain an execution action of each of the USVs at the next moment; sending the execution action of each of the USVs at the next moment to a corresponding USV execution structure to search for underwater targets within the task region. The target search strategy output model is obtained by training based on a training sample and a DDQN network structure.

Method and system for controlling multi-unmanned surface vessel collaborative search

The present disclosure discloses an electro-hydraulic varifocal lens-based method for tracking a 3D trajectory of a moving object. The method includes the following steps of: (1) obtaining a functional relation between a focusing control current and camera's intrinsic parameters; (2) obtaining a functional relation between focusing control currents of the electro-hydraulic varifocal lens and an optimal object distance; (3) initializing an object tracking algorithm, and taking an object tracking box as a subsequent focusing window; (4) carrying out first autofocusing, recording a focusing control current value after the autofocusing is completed, as well as a size and center point coordinates of the object tracking box; (5) calculating and recording coordinates of the object in 3D space; and (6) repeating steps (4) and (5) for the same object, and sequentially connecting the recorded coordinates of the object in 3D space into a trajectory.

Electro-hydraulic varifocal lens-based method for tracking three-dimensional trajectory of moving object

A normal-temperature heat engine power generation device based on a drinking bird is provided. The device includes a drinking bird body, a piezoelectric module and an electromagnetic module. The piezoelectric module includes a cantilever beam, a piezoelectric sheet arranged on the cantilever beam and working loads arranged at an end of the cantilever beam. when a head of the drinking bird body swings downwards, a tip of a beak can impact the working loads. The electromagnetic module includes magnets, coils and coil magnet conducting columns. The magnets are arranged at a bottom of a spherical bottom of the drinking bird body, and the coil magnet conducting columns sleeving the coils are arranged on a base of the drinking bird body.

Normal-temperature heat engine power generation device based on drinking bird

The present invention discloses a quasi-zero-stiffness (QZS) based six-degree-of-freedom (6-DOF) absolute displacement and attitude measurement device. A lower end coil and an upper end coil are respectively charged with currents in the opposite directions; The electromagnetic field and the magnetic fields of an upper magnet and a lower magnet per se are mutually acted to produce an electromagnetic stiffness opposite to the stiffness of a spring. The stiffness of the whole leg is close to zero stiffness. When the to-be-measured platform generates space motion, the reference platform is in the stationary state. At this point, the deformation amounts of the six legs can be measured by laser displacement sensors. The six deformation amounts are respectively inputted into the displacement and attitude resolver, and by forward kinematic solution of the 6-DOF device, the displacement and the attitude of the to-be-measured platform can be obtained.

Quasi-zero-stiffness based six-degree-of-freedom absolute displacement and attitude measurement device

A control method and system for collaborative interception by multiple unmanned surface vessels are provided. The method includes obtaining task environment information of each unmanned surface vessel in an unmanned surface vessel group at a current moment, estimating interception point information of the intruding target at the current moment by using a Kalman filter according to the task environment information of the unmanned surface vessels at the current moment, determining process state information of each unmanned surface vessel at the current moment, inputting the process state information of each unmanned surface vessel at the current moment into a corresponding intruding target interception policy output model respectively to obtain an execution action of each unmanned surface vessel at a next moment to intercept the intruding target. The application can intercept the intruding target accurately.

Control method and system for collaborative interception by multiple unmanned surface vessels

Disclosed is a vortex-induced vibration-based piezoelectricity and friction nanometer power generation combined energy collector. The energy collector includes a support frame, a piezoelectric plate, a cylinder and a solid-liquid type friction nanometer power generation assembly, wherein the support frame includes a fixed plate, a cantilever plate and a connecting plate which are sequentially connected from top to bottom, the piezoelectric plate is fixed on one side of the cantilever plate, the solid-liquid type friction nanometer power generation assembly has an outer shell, an insulating friction inner shell and a sealing part, the outer shell having two symmetrically arranged induction electrodes, insulating layers are arranged between the butt joint faces of the two induction electrodes, the included angles between the butt joint faces of the two induction electrodes and the plane, provided with the piezoelectric plate, of the cantilever plate are not 90°.

Vortex-induced vibration-based piezoelectricity and friction nanometer power generation combined energy collector

A wheel-legged amphibious mobile robot with a variable attack angle, which belongs to the technical field of robot structure technology. The robot includes three parts: motion unit, body trunk and power unit. As a key structure, the motion unit mainly includes a moving mechanism, a wheel assembly, a telescopic mechanism and a transmission device. The robot drives the telescopic mechanism to reciprocate linearly through a gear and rack set, and pushes 'legs' to expand and retract, so as to realize a mutual switching between a wheeled mode and a gait mode. Under transmission of bevel gear set, the blades can rotate at any same angle at the same time, to change the attack angle and realize the steering. The robot provided by the present disclosure can effectively adapt to a complex and harsh amphibious environment, and meet a series of operation requirements such as rapid movement, obstacle climbing, underwater steering.

Wheel-legged amphibious mobile robot with variable attack angle

The present disclosure relates to a signal conditioning system for improving low-frequency measurement performance of an acceleration sensor. The signal conditioning system includes: a charge integration circuit, a high-pass filter circuit, a lead-lag network, an anti-aliasing filter circuit, and a gain adjustment circuit. An input terminal of the charge integration circuit is connected to the acceleration sensor, an output terminal of the charge integration circuit is connected to an input terminal of the high-pass filter circuit, an output terminal of the high-pass filter circuit is connected to an input terminal of the lead-lag network, an output terminal of the lead-lag network is connected to an input terminal of the anti-aliasing filter circuit, and an output terminal of the anti-aliasing filter circuit is connected to an input terminal of the gain adjustment circuit.

Signal conditioning system for improving low-frequency measurement performance of acceleration sensor

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Shanghai, China

Shaorong Xie