FPGA-Based Implementation of Stochastic Configuration Network for Robotic Grasping Recognition
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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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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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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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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
Sign Up to like & getrecommendations! 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
Robotic grasping with obstacle avoidance using octrees
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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