Robotic grasping is one of the key functions for realizing industrial automation and human–machine interaction. However, current robotic methods unknown objects mainly focus on generating 6-D grasp poses, which cannot obtain rich object pose information are not robust in challenging scenes. Based this, this article, we propose a continuous system that achieves end-to-end intraclass 3-D space by accurate category-level estimation. Specifically, to achieve estimation, first, global shape...

Nowadays more and urban residents are aware of the importance air quality to their health, especially who living in large cities that seriously threatened by pollution. Meanwhile, being limited spare sense nodes, information is very coarse resolution, which brings urgent demands for high-resolution data acquisition. In this paper, we refer real-time fine-gained city-scale employing crowdsource automobiles as well built-in sensors, significantly improves sensing system's feasibility...

The accuracy of existing UWB range-based indoor localization methods is generally degraded due to the non-line-of-sight (NLOS) situations where a serve bias in range measurements unavoidable. In this article, we first propose two-stage NLOS detection method detect line-of-sight (LOS)-measured distances mixed LOS/NLOS environments. Then, high-accuracy UWB/IMU/Odometer integrated system presented using an adaptive multi-algorithm framework based on number detected LOS-measured distances....

Multi-component force sensors have infiltrated a wide variety of automation products since the 1970s. However, one seldom finds full-component sensor systems available in market for cutting measurement machine processes. In this paper, new six-component system with compact monolithic elastic element (EE) is designed and developed to detect tangential forces Fx, Fy Fz (i.e., along x-, y-, z-axis) as well moments Mx, My Mz about simultaneously. Optimal structural parameters EE are carefully...

Tracking the 6-degree-of-freedom (6D) object pose in video sequences is gaining attention because it has a wide application multimedia and robotic manipulation. However, current methods often perform poorly challenging scenes, such as incorrect initial pose, sudden re-orientation, severe occlusion. In contrast, we present robust 6D tracking method with novel hierarchical feature fusion network, refer HFF6D, which aims to predict object's relative between adjacent frames. Instead of...

The rise of the Internet Things has spurred growth wireless applications, particularly Wi-Fi-based indoor localization, which is gaining prominence owing to its cost-effectiveness. Nevertheless, accuracy localization hindered by signal instability. To address this limitation, we introduce an interval random analysis approach for uncertain localization. Specifically, employs parameter lognormal shadowing model radio map enhancement and adaptive Bayesian comprehensive learning (IRPLS-ABCL)...

Six-degree-of-freedom (6DoF) object pose estimation is a crucial task for virtual reality and accurate robotic manipulation. Category-level 6DoF has recently become popular as it improves generalization to complete category of objects. However, current methods focus on data-driven differential learning, which makes them highly dependent the quality real-world labeled data limits their ability generalize unseen To address this problem, we propose multi-hypothesis (MH) consistency learning...

Wireless fidelity (WIFI) can transmit data efficiently, but it has the advantages of low computing cost and simple deployment. However, WIFI signal is susceptible to interference from human movement, multipath propagation, indoor temperature changes, resulting in problems such as positioning accuracy poor stability. To improve stability, we propose a novel fingerprint technology applying vision-guided definition for WIFI-based localization, defined KV. There are two stages localization:...

Point cloud processing methods exploit local point features and global context through aggregation which does not explicitly model the internal correlations between features. To address this problem, we propose full encoding is applicable to convolution transformer architectures. Specifically, (FuPConv) (FPTransformer) The key idea adaptively learn weights from geometric connections, where connections are established correlation functions, respectively. FuPConv FPTransformer simultaneously...

By the global energy risk continues to intensify impact of crude oil and other traditional fossil demand grow, storage tanks as first choice facilities, internal waxed in low-temperature environment is very easy gel, resulting safety accidents such chucking, usually using coils heat tank ensure normal operation tanks. Therefore, it important study variation law transfer characteristics each link during gelation-melting process waxy storage. In this paper considering dynamic change source...

Abstract. The application of ground-based microwave radiometers (MWRs), which provide high-quality and continuous vertical atmospheric observations, has traditionally focused on the indirect assimilation retrieved profiles. This study advanced this by developing a direct capability for MWR radiance observations within Weather Research Forecasting model data (WRFDA) system, along with bias correction scheme based random forest technique. proposed effectively reduced...

Rigid robot pose estimation with an RGB-D camera has attracted substantial research attention recently for the reason that can capture RGB and depth information simultaneously. Despite huge progress been made, there are still some unresolved issues like in texture-less or structure-less scenes. Aiming at this problem, paper presents a robust real-time method Our contributions threefold. First, we present improved ORB algorithm extracting reliable inliers, which adaptive threshold setting of...

Aiming at the problems that whale optimization algorithm is easy to fall into local optimal, slow convergence speed and low accuracy in complex environment of multi-variable processing, it has always been challenging practical application. In this paper, a new hybrid modified (HIWOA) proposed, which adds feedback mechanism improve population diversity reduce possibility falling optimization. The nonlinear factor inertia weight coefficient are used updating individual position accuracy....