Aiming at the problem of insufficient research on rapid assessment methods for traditional villages to cope with flood impacts, this paper proposes a method to optimize the flood assessment model using UAV images and ...
详细信息
Withthe development of robotics technology, the application fields of robots are becoming more and more extensive. High-end equipment, facilities, and equipment are also more and more complex, and the structure is mo...
详细信息
ISBN:
(纸本)9789819607709;9789819607716
Withthe development of robotics technology, the application fields of robots are becoming more and more extensive. High-end equipment, facilities, and equipment are also more and more complex, and the structure is more precise, and miniaturized. When corrosion, wear, and cracks occur inside the equipment, it is very difficult to detect without damaging the equipment. Withthe development of micro-small robotic technology, in-situ detection of robots in a narrow space can solve the internal detection problems of complex high-end equipment and facilities. the types of in-situ detection robots in narrow spaces are described. the technical characteristics of miniaturization, intelligence, versatility, and remote operation of in-situ detection robots in narrow spaces are analyzed. the challenges and future development directions of perception, positioning, and autonomous control of in-situ detection robots in narrow spaces are prospected.
the proceedings contain 23 papers. the special focus in this conference is on Security and Privacy in New Computing Environments. the topics include: Consortium Blockchain Storage Optimization Based on60;Fountain C...
ISBN:
(纸本)9783031736988
the proceedings contain 23 papers. the special focus in this conference is on Security and Privacy in New Computing Environments. the topics include: Consortium Blockchain Storage Optimization Based on Fountain Codes;an Incentive Mechanism and An Offline Trajectory Publishing Algorithm Considering Sensing Area Coverage Maximization and Participant Privacy Level;Research on Face Recognition System Based on RLWE Homomorphic Encryption;feedback Feed-Forward Iterative Learning control for Non-affine Nonlinear Discrete-Time Systems with Varying Trail Lengths;open-Closed-Loop Iterative Learning control Based on Differential Evolution Algorithm for Nonlinear System;overview of Vehicle Edge Computing and Its Security;conFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection;anomaly Detection of Unstable Log Data Based on Contrastive Learning;An Integration-Enhanced ZNN Approach for Chaotic Combination Synchronization with External Disturbances∗;a Lightweight Anomaly Detection Method for Industrial Processes Based on Event Correlation Behavior;a Novel Polar Code-Based Key Encapsulation Mechanism with Non-permutation Equivalent Public Key;two-Stage Multi-lingual Speech Emotion Recognition for Multi-lingual Emotional Speech Synthesis;EncoderMU: Machine Unlearning in Contrastive Learning;NoCrypto: A Web Mining Behavior Detection Method Based on RGB Images;image Copy-Move Forgery Detection in the Social Media Based on a Prior Density Clustering and the Point Density;detection of Speech Spoofing Based on Dense Convolutional Network;speech Emotion Recognition Based on Recurrent Neural Networks with Conformer for Emotional Speech Synthesis;Route Privacy-Preserving Authentication Scheme Based on PUF in VANETs;Stable NICE Model-Based Picture Generation for Generative Steganography;computer-Generated Image Forensics Based on Vision Transformer with Forensic Feature Pre-processing Module;VoIP Steganalysis Using Shallow Multiscale Convolution and
this paper proposes a binocular reconstruction and monocular 6 Degree of Freedom(Dof) pose estimation for model free robot grasping, mainly consisting of three stages: First, capture images of the estimated object by ...
详细信息
ISBN:
(纸本)9789819607730;9789819607747
this paper proposes a binocular reconstruction and monocular 6 Degree of Freedom(Dof) pose estimation for model free robot grasping, mainly consisting of three stages: First, capture images of the estimated object by using a binocular camera to circle around it, and establish a sparse feature point cloud through motion reconstruction methods. then, during the estimation stage, acquire images through a monocular camera and extract feature points. After that, perform 2D-to-3D feature point matching and Perspective-n-Point(PnP) calculation to obtain the object pose. Finally, achieve a more stable grasping effect by mutually verifying the estimated object poses obtained from multiple identical camera poses and different camera poses. this solution does not require an object model and can achieve a success rate of 85% using only a monocular camera during the grasping stage.
the proceedings contain 110 papers. the topics discussed include: estimation and control of nodes in an abstract space;brief analysis and utilization of ship exhaust heat;adaptive fuzzy terminal sliding mode synchroni...
ISBN:
(纸本)9781728161396
the proceedings contain 110 papers. the topics discussed include: estimation and control of nodes in an abstract space;brief analysis and utilization of ship exhaust heat;adaptive fuzzy terminal sliding mode synchronization of uncertain Newton-Leipnik chaotic system;a multi-agent reinforcement learning method for swarm robots in space collaborative exploration;and trajectory optimization of solar-powered high-altitude long endurance aircraft.
Recently, there has been a surge in the development of advanced warehouse management systems that seamlessly incorporate robotized technologies. these robots have the capability to operate independently or collaborate...
详细信息
ISBN:
(纸本)9783031693434;9783031693441
Recently, there has been a surge in the development of advanced warehouse management systems that seamlessly incorporate robotized technologies. these robots have the capability to operate independently or collaborate with human staff to enhance the efficiency of items picking and storage. the paper at hand, introduces an intelligent Warehouse Management System, denoted as iWMS, designed for a goods-to-person warehouse environment. the system is configured to retrieve data of standard format compatible with commercial WMS through an application programming interface (API), while maintaining control over the robotic processes. this work aims to address the development of a software that will analyze incoming and outgoing orders and allocate the task of collecting and distributing bins with an Autonomous Mobile Robot (AMR). the proposed software performs a systematic analysis of incoming orders, linking them withthe respective fiducial markers that contain detailed information about the precise location of the relevant bin within the warehouse. Subsequently, the system assigns the task of orders collection to one or more AMRs, taking into account their availability and current positions within the warehouse. this is achieved using an algorithm that maximizes efficiency by optimizing both execution time and travel distances. Additionally, the application consistently updates the stock in the database based on the products identified within the bins, ensuring accurate and real-time stock counting in the warehouse database. the ultimate goal of the iWMS is to provide an easy-to-use tool, allowing the seamless co-existence between the workers and the robotic platforms in a common workplace. this iWMS is part of a robotic warehouse solution currently undergoing testing in simulation.
Cardiovascular diseases (CVD) are one of the major global healththreats, causing millions of deaths each year. According to data from the World Health Organization, over 500 million people are affected by cardiovascu...
详细信息
暂无评论