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Deep learning approaches to grasp synthesis: A review
Gras** is the process of picking up an object by applying forces and torques at a set of
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
contacts. Recent advances in deep learning methods have allowed rapid progress in robotic …
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 …
Anygrasp: Robust and efficient grasp perception in spatial and temporal domains
As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …
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 …
Data-driven robotic visual gras** detection for unknown objects: A problem-oriented review
This paper presents a comprehensive survey of data-driven robotic visual gras**
detection (DRVGD) for unknown objects. We review both object-oriented and scene …
detection (DRVGD) for unknown objects. We review both object-oriented and scene …
Robotics dexterous gras**: The methods based on point cloud and deep learning
Dexterous manipulation, especially dexterous gras**, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …
robots that allows the implementation of performing human-like behaviors. Deploying the …
Lan-grasp: Using large language models for semantic object gras**
R Mirjalili, M Krawez, S Silenzi, Y Blei… - ar**. We use foundation models to provide the robot with a deeper understanding of the …
Towards scale balanced 6-dof grasp detection in cluttered scenes
In this paper, we focus on the problem of feature learning in the presence of scale imbalance
for 6-DoF grasp detection and propose a novel approach to especially address the difficulty …
for 6-DoF grasp detection and propose a novel approach to especially address the difficulty …
Language-driven 6-dof grasp detection using negative prompt guidance
DoF grasp detection has been a fundamental and challenging problem in robotic vision.
While previous works have focused on ensuring grasp stability, they often do not consider …
While previous works have focused on ensuring grasp stability, they often do not consider …