Weiming Wang

Combined observer-based robotic force control with spatial payload inertia compensation

Wenbo Tang, Wenhai Liu, Weiming Wang, Shiquan Wang

Accurate force sensing and robust disturbance rejection are fundamental to stable and precise robotic contact tasks. This paper proposes a combined observer-based framework for robotic force control that compensates for spatial payload inertia and rejects disturbances within the force loop. A spatial …

cn (code pays fourni par la source)

Domain-connected gradient-enhanced transformer network for robust image denoising

Xuefei Bai, Yongsong Wan, Weiming Wang

Aiming at the problem that the traditional Transformer-based image denoising methods tend to ignore the redundancy of feature information in the encoding and decoding stages, and cannot well combine prior to improve the efficiency of noise feature extraction, we propose a new …

cn (code pays fourni par la source)

Source-Free Active Domain Adaptation for Efficient Medical Video Polyp Segmentation

Jialu Li, Hongqiu Wang, Weiming Wang, Jing Qin et autres

cn, hk (code pays fourni par la source)

Shape Descriptor Guided Learning for Category-Level Object Pose Estimation

Yun Liu, Weiming Wang, Fu Lee Wang, Haoran Xie et autres

hk, cn (code pays fourni par la source)

CEPDNet: a fast CNN-based image denoising network using edge computing platform

Xuefei Bai, Yongsong Wan, Weiming Wang

cn (code pays fourni par la source)

GUFORMER: a gradient-aware U-shaped transformer neural network for real image denoising

Xuefei Bai, Yongsong Wan, Weiming Wang, Bin Zhou

cn (code pays fourni par la source)

Smooth trajectory generation for industrial machines and robots based on high-order S-curve profiles

Yi Fang, Chaochen Gu, Yudi Zhao, Weiming Wang et autres

cn (code pays fourni par la source)

Partially Decoupled Impedance Motion Force Control Using Prioritized Inertia Shaping

W. H. Tang, Weiming Wang, Shiquan Wang

To achieve precise motion force control (MFC) when a robot interacts with the environment, selecting an appropriate control approach is crucial. A task space disturbance wrench can induce coupled accelerations between different subspaces due to the inherent coupling of task space inertia. …

cn (code pays fourni par la source)

CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation

Yang You, Wenhao He, Jin Liu, Hongkai Xiong et autres

Object pose estimation constitutes a critical area within the domain of 3D vision. While contemporary state-of-the-art methods that leverage real-world pose annotations have demonstrated commendable performance, the procurement of such real training data incurs substantial costs. This paper focuses on a specific …

cn (code pays fourni par la source)

GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects

Qiaojun Yu, Junbo Wang, Wenhai Liu, Ce Hao et autres

Articulated objects like cabinets and doors are widespread in daily life. However, directly manipulating 3D articulated objects is challenging because they have diverse geometrical shapes, semantic categories, and kinetic constraints. Prior works mostly focused on recognizing and manipulating articulated objects with specific …

cn, sg (code pays fourni par la source)

The relationship between the digital divide and the well-being of older adults: the mediating role of learned helplessness and the moderating role of growth mindset

Qisong Zheng, Weiming Wang

cn (code pays fourni par la source)

Real-Time Reconstruction of 3-D Tactile Motion Field via Multitask Learning

Jin Liu, Hexi Yu, Can Zhao, Wenhai Liu et autres

The 3D motion field on the surface of the vision-based tactile sensor contains rich tactile information and serves as the foundation for many downstream tasks. However, achieving real-time and precise reconstruction of 3D motion field is challenging. In this study, the 3D …

cn (code pays fourni par la source)