Titlebook: Intelligent Robotics and Applications; 16th International C Huayong Yang,Honghai Liu,Zhiyong Wang Conference proceedings 2023 The Editor(s)

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书目名称Intelligent Robotics and Applications影响因子(影响力)




书目名称Intelligent Robotics and Applications影响因子(影响力)学科排名




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书目名称Intelligent Robotics and Applications网络公开度学科排名




书目名称Intelligent Robotics and Applications被引频次




书目名称Intelligent Robotics and Applications被引频次学科排名




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书目名称Intelligent Robotics and Applications年度引用学科排名




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书目名称Intelligent Robotics and Applications读者反馈学科排名

车床

Realtime 3D Reconstruction at Scale and Object Pose Estimation for Bin Picking Systemstimation algorithm based on 3D point cloud data is widely used in bin picking systems. This paper presents a real-time 3D reconstruction and object pose estimation method for bin picking, and builds a robot grasping system, which mainly consists of the following aspects: 1) A GPU-based dense 3D poi

先行

半导体

A Real-Time and Globally Consistent Meshing Reconstruction Without GPUlence of low power devices and the rapid advancement of human-robot interaction techniques have resulted in the widespread use of RGB-D sensors for 3D reconstruction. However, high computational complexity and high fidelity make it challenging to perform dense reconstruction in real-time on low-powe

叫喊

inclusive

信任

Dynamic Hand Gesture Recognition Based on Multi-skeletal Features for Sign Language Recognition Systment provides the possibility for new human-computer interaction methods. However, most existing hand gesture recognition feature extraction models are difficult to balance the accuracy and speed of recognition. To improve the performance of the hand gesture recognition model, this paper analyzes th

armistice

An Amended Time-Scaling Algorithm for Kino-Dynamic Trajectoriesvolves sampling . points along a robot’s motion path and scaling their speed profiles to meet the kino-dynamic constraints at those points. The method consists of two steps. First, it decomposes the original problem into . 2-D subproblems, and describes the feasible domain of each subproblem using a

hermetic

Adapted Mapping Estimator in Visual Servoing Control for Model-Free Robotics Manipulatorth the learning network is applied to visual servoing control of model-free robotic manipulator, which can online estimate the vision-motor relationship in a stochastic environment without knowledge of noise statistics. The dynamic mapping identification problems are solved by incorporating the impr

Lipoprotein

FairShare: An Incentive-Based Fairness-Aware Data Sharing Framework for Federated Learning un-shared decisions are crucial for reliable federated learning. This study introduces “FairShare”, an incentive mechanism enhancing reliability in applications like financial fraud detection and chatbot customer service. FairShare has two stages: stage one uses the Vickrey-Clarke-Groves (VCG) auct