Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review

H Tian, K Song, S Li, S Ma, J Xu, Y Yan - Expert Systems with Applications, 2023 - Elsevier
This paper presents a comprehensive survey of data-driven robotic visual grasping
detection (DRVGD) for unknown objects. We review both object-oriented and scene …

Comprehensive review on reaching and grasping of objects in robotics

QM Marwan, SC Chua, LC Kwek - Robotica, 2021 - cambridge.org
Interaction between a robot and its environment requires perception about the environment,
which helps the robot in making a clear decision about the object type and its location. After …

High-performance pixel-level grasp detection based on adaptive grasping and grasp-aware network

D Wang, C Liu, F Chang, N Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Machine vision-based planar grasping detection is challenging due to uncertainty about
object shape, pose, size, etc. Previous methods mostly focus on predicting discrete gripper …

[PDF][PDF] 机器人视觉三维成像技术综述

卢荣胜, 史艳琼, 胡海兵 - Laser & Optoelectronics Progress, 2020 - researching.cn
摘要本文针对智能制造领域机器人视觉感知中的三维视觉成像技术进行综述,
系统地总结了一些有代表性的机器人视觉成像方法的特点和实际应用中的局限性 …

Real-time robotic multigrasp detection using anchor-free fully convolutional grasp detector

Y Wu, F Zhang, Y Fu - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Robotic grasping is essential for intelligent manufacturing. This article presents a novel
anchor-free grasp detector based on fully convolutional network for detecting multiple valid …

Pseudo-siamese graph matching network for textureless objects'6-d pose estimation

C Wu, L Chen, Z He, J Jiang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Pose estimation is an essential technology for product grasping and assembly in intelligent
manufacturing. Finding local correspondences between the 2-D image and the 3-D model is …

REG-Net: Improving 6DoF object pose estimation with 2D keypoint long-short-range-aware registration

J Jiang, Z He, X Zhao, S Zhang, C Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
TheSixdegrees of freedom 6DoF pose estimation of texture-less objects provides a spatial
understanding of industrial scenes and is the basis for accurate object manipulation. Recent …

Review of bioinspired vision-tactile fusion perception (VTFP): From humans to humanoids

B He, Q Miao, Y Zhou, Z Wang, G Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Humanoid robots are designed and expected to resemble humans in structure and
behavior, showing increasing application potentials in various fields. Like their biological …

A survey on vision guided robotic systems with intelligent control strategies for autonomous tasks

A Singh, V Kalaichelvi, R Karthikeyan - Cogent Engineering, 2022 - Taylor & Francis
Abstract The Vision Guided Robotic systems (VGR) is an essential aspect of modern
intelligent robotics. The VGR is rapidly transforming manufacturing processes by enabling …

A hybrid deep-q-network and model predictive control for point stabilization of visual servoing systems

J Wu, Z Jin, A Liu, L Yu, F Yang - Control Engineering Practice, 2022 - Elsevier
Major difficulties and challenges of visual servoing point stabilization focus on how to design
controllers to efficiently complete the task while satisfying various constraints. This paper …