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Vision-based robotic gras** from object localization, object pose estimation to grasp estimation for parallel grippers: a review
This paper presents a comprehensive survey on vision-based robotic gras**. We
conclude three key tasks during vision-based robotic gras**, which are object localization …
conclude three key tasks during vision-based robotic gras**, which are object localization …
Review of deep learning methods in robotic grasp detection
For robots to attain more general-purpose utility, gras** is a necessary skill to master.
Such general-purpose robots may use their perception abilities to visually identify grasps for …
Such general-purpose robots may use their perception abilities to visually identify grasps for …
Graspnet-1billion: A large-scale benchmark for general object gras**
Object gras** is critical for many applications, which is also a challenging computer vision
problem. However, for cluttered scene, current researches suffer from the problems of …
problem. However, for cluttered scene, current researches suffer from the problems of …
Antipodal robotic gras** using generative residual convolutional neural network
In this paper, we present a modular robotic system to tackle the problem of generating and
performing antipodal robotic grasps for unknown objects from the n-channel image of the …
performing antipodal robotic grasps for unknown objects from the n-channel image of the …
Real-world multiobject, multigrasp detection
A deep learning architecture is proposed to predict graspable locations for robotic
manipulation. It considers situations where no, one, or multiple object (s) are seen. By …
manipulation. It considers situations where no, one, or multiple object (s) are seen. By …
Acronym: A large-scale grasp dataset based on simulation
We introduce ACRONYM, a dataset for robot grasp planning based on physics simulation.
The dataset contains 17.7 M parallel-jaw grasps, spanning 8872 objects from 262 different …
The dataset contains 17.7 M parallel-jaw grasps, spanning 8872 objects from 262 different …
When transformer meets robotic gras**: Exploits context for efficient grasp detection
In this letter, we present a transformer-based architecture, namely TF-Grasp, for robotic
grasp detection. The developed TF-Grasp framework has two elaborate designs making it …
grasp detection. The developed TF-Grasp framework has two elaborate designs making it …
Gaussiangrasper: 3d language gaussian splatting for open-vocabulary robotic gras**
Constructing a 3D scene capable of accommodating open-ended language queries, is a
pivotal pursuit in the domain of robotics, which facilitates robots in executing object …
pivotal pursuit in the domain of robotics, which facilitates robots in executing object …
Fully convolutional grasp detection network with oriented anchor box
In this paper, we present a real-time approach to predict multiple gras** poses for a
parallel-plate robotic gripper using RGB images. A model with oriented anchor box …
parallel-plate robotic gripper using RGB images. A model with oriented anchor box …
Object detection recognition and robot gras** based on machine learning: A survey
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …
field is increasingly reflected. The combination of machine vision and robotics to achieve the …