Perceiving the surrounding environment timely and accurately is very essential to improve the safety of mobile robots. To obtain rich information and increase the visual field of mobile robots, the development of mult...
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Aiming at solving the problem of joint angle measurement during the movement of small robots or robotic arms that cannot be equipped with angle encoders, this paper provides a small, lightweight and detachable measure...
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Visible and near-infrared photodetectors are widely used in intelligent driving, health monitoring, and other fields. However, the application of photodetectors in the near-infrared region is significantly impacted by...
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Visible and near-infrared photodetectors are widely used in intelligent driving, health monitoring, and other fields. However, the application of photodetectors in the near-infrared region is significantly impacted by high dark current, which can greatly reduce their performance and sensitivity, thereby limiting their effectiveness in certain applications. In this work, the introduction of a C60back interface layer successfully mitigated back interface reactions to decrease the thickness of the Mo(S,Se)2layer, tailoring the back-contact barrier and preventing reverse charge injection, resulting in a kesterite photodetector with an ultralow dark current density of 5.2 × 10-9m A/cm2and ultra-weak-light detection at levels as low as 25 p W/cm2. Besides, under a self-powered operation, it demonstrates outstanding performance, achieving a peak responsivity of 0.68 A/W, a wide response range spanning from 300 to 1600 nm, and an impressive detectivity of 5.27 × 1014Jones. In addition, it offers exceptionally rapid response times,with rise and decay times of 70 and 650 ns, respectively. This research offers important insights for developing high-performance self-powered near-infrared photodetectors that have high responsivity, rapid response times, and ultralow dark current.
Magnetic tracking technologies have a promising application in detecting the real-time position and attitude of a capsule endoscope. However, most of them need to measure the magnetic moment of a permanent magnet (PM)...
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Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advan...
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Discrete event system(DES)models promote system engineering,including system design,verification,and *** advancement in manufacturing technology has endowed us to fabricate complex industrial ***,the adoption of advanced modeling methodologies adept at handling complexity and scalability is ***,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the *** this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the *** traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone *** with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new ***,this general modeling approach has wide potential for future complex and intelligent industrial systems.
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. The purpose of our research is to unleash ...
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In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO) framework for large Field-of-View (FoV) cameras with a negative plane using points and geodesic segments. The purpose of our research is to unleash the potential of point-line odometry with large-FoV omnidirectional cameras, even for cameras with negative-plane FoV. To achieve this, we propose an Omnidirectional Curve Segment Detection (OCSD) method combined with a camera model which is applicable to images with large distortions, such as panoramic annular images, fisheye images, and various panoramic images. The geodesic segment is sliced into multiple straight-line segments based on the radian and descriptors are extracted and recombined. Descriptor matching establishes the constraint relationship between 3D line segments in multiple frames. In our VIO system, line feature residual is also extended to support large-FoV cameras. Extensive evaluations on public datasets demonstrate the superior accuracy and robustness of LF-PGVIO compared to state-of-the-art methods. The source code will be made publicly available at https://***/flysoaryun/LF-PGVIO. IEEE
The electrically driven large-load-ratio six-legged robot with engineering capability can be widely used in outdoor and planetary ***,due to the particularity of its parallel structure,the effective utilization rate o...
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The electrically driven large-load-ratio six-legged robot with engineering capability can be widely used in outdoor and planetary ***,due to the particularity of its parallel structure,the effective utilization rate of energy is not high,which has become an important obstacle to its practical *** research the power consumption characteristics of robot mobile system is beneficial to speed up it toward *** on the configuration and walking modes of robot,the mathematical model of the power consumption of mobile system is set *** view of the tripod gait is often selected for the six-legged robots,the simplified power consumption model of mobile system under the tripod gait is established by means of reducing the dimension of the robot’s statically indeterminate problem and constructing the equal force ***,the power consumption of robot mobile system is solved under different working *** variable tendencies of the power consumption of robot mobile system are respectively obtained with changes in the rotational angles of hip joint and knee joint,body height,and *** articulated rotational zones and the ranges of body height and span are determined under the lowest power *** to the walking experiments of prototype,the variable tendencies of the average power consumption of robot mobile system are respectively acquired with changes in duty ratio,body height,and ***,the feasibility and correctness of theory analysis are verified in the power consumption of robot mobile *** proposed analysis method in this paper can provide a reference on the lower power research of the large-load-ratio multi-legged robots.
In recent years,deep learning techniques have been used to estimate gaze-a significant task in computer vision and human-computer *** studies have made significant achievements in predicting 2D or 3D gazes from monocu...
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In recent years,deep learning techniques have been used to estimate gaze-a significant task in computer vision and human-computer *** studies have made significant achievements in predicting 2D or 3D gazes from monocular face *** study presents a deep neural network for 2D gaze estimation on mobile *** achieves state-of-the-art 2D gaze point regression error,while significantly improving gaze classification error on quadrant divisions of the *** this end,an efficient attention-based module that correlates and fuses the left and right eye contextual features is first proposed to improve gaze point regression ***,through a unified perspective for gaze estimation,metric learning for gaze classification on quadrant divisions is incorporated as additional ***,both gaze point regression and quadrant classification perfor-mances are *** experiments demonstrate that the proposed method outperforms existing gaze-estima-tion methods on the GazeCapture and MPIIFaceGaze datasets.
This study aims to design and optimize a motor-driven frog-like jumping robot leg for efficient vertical jumps and multiple consecutive horizontal jumps. We have conducted bionic research on frog legs' structure a...
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Snake robot is a robot that can move freely in a small and complex space with super-redundant DOF and motion flexibility, and it has been proven to have a wide range of application prospects. RGB-D camera is a new typ...
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