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   Articles with "robotic grasping" as a keyword



NGANet: Neighborhood-aware Graph Aggregation Network for 6D pose estimation in robotic grasping

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recommendations! Published in 2025 at "Robotica"

DOI: 10.1017/s0263574725102130

Abstract: Abstract 6D pose estimation can perceive an object’s position and orientation in 3D space, playing a critical role in robotic grasping. However, traditional sparse keypoint-based methods generally rely on a limited number of feature points,… read more here.

Keywords: graph aggregation; aware graph; pose estimation; robotic grasping ... See more keywords

FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3012819

Abstract: Precise and rapid grasping recognition based on machine vision is one of the challenging problems for intelligent robots. As a nonlinear network for recognition, the stochastic configuration network (SCN) is considered as a promising method… read more here.

Keywords: robotic grasping; grasping recognition; recognition; network ... See more keywords

Research Challenges and Progress in Robotic Grasping and Manipulation Competitions

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3129134

Abstract: This paper discusses recent research progress in robotic grasping and manipulation in the light of the latest Robotic Grasping and Manipulation Competitions (RGMCs). We first provide an overview of past benchmarks and competitions related to… read more here.

Keywords: grasping manipulation; robotic grasping; manipulation; progress robotic ... See more keywords

A Robotic Grasping State Perception Framework with Multi-Phase Tactile Information and Ensemble Learning

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recommendations! Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3151260

Abstract: Recently, tactile sensing has attracted increasing attention for robotic manipulation. Predicting the grasping stability before lifting objects and detecting the ongoing/onset of slip after lifting objects are two critical and widely studied tasks in robotic… read more here.

Keywords: state; framework; multi; robotic grasping ... See more keywords

Discriminative Active Learning for Robotic Grasping in Cluttered Scene

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recommendations! Published in 2023 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2023.3243474

Abstract: Robotic grasping is a challenging task due to the diversity of object shapes. A sufficiently labeled dataset is essential for the grasp pose detection methods based on deep learning. However, data annotation is a costly… read more here.

Keywords: cluttered scene; active learning; robotic grasping; discriminative active ... See more keywords

A Robust Pixel-Wise Prediction Network With Applications to Industrial Robotic Grasping

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recommendations! Published in 2023 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2022.3212422

Abstract: Accurate object detection and 6D pose estimation are the key technologies in robotic grasping applications, where efficiency and robustness are the two most desirable goals. Especially, for textureless industrial parts, it is difficult for most… read more here.

Keywords: wise prediction; pixel wise; prediction; robotic grasping ... See more keywords

Attribute-Based Robotic Grasping With Data-Efficient Adaptation

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recommendations! Published in 2025 at "IEEE Transactions on Robotics"

DOI: 10.1109/tro.2024.3353484

Abstract: Robotic grasping is one of the most fundamental robotic manipulation tasks and has been the subject of extensive research. However, swiftly teaching a robot to grasp a novel target object in clutter remains challenging. This… read more here.

Keywords: adaptation; attribute based; data efficient; robotic grasping ... See more keywords

Robotic grasping with obstacle avoidance using octrees

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recommendations! Published in 2020 at "Artificial Intelligence"

DOI: 10.15407/jai2020.03.007

Abstract: This paper considers the problems of the integration of independent manipulator control systems. Areas of control of the manipulator are: recognition of objects and obstacles, identification of objects to be grasped, determination of reliable positions… read more here.

Keywords: grasping obstacle; manipulator; robotic grasping; avoidance ... See more keywords

Research on a Fusion Technique of YOLOv8-URE-Based 2D Vision and Point Cloud for Robotic Grasping in Stacked Scenarios

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15126583

Abstract: In industrial robotic grasping tasks, traditional 3D point cloud registration and pose estimation methods often struggle with low efficiency and limited accuracy in stacked and cluttered environments. To address these challenges, this paper proposes a… read more here.

Keywords: registration; yolov8 ure; point; point cloud ... See more keywords