Attention-based Deep Learning for Visual Servoing

Wang, Bo; Li, Yuan

doi:10.1109/cac51589.2020.9326768

Cited by 2 publications

(2 citation statements)

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“…Features extraction in a complex environment such as clusters is a demanding task, which needs a larger sample size for processing; nevertheless, large sample size processing is challenging for traditional visual servoing methods. Thus, Convolution Neural Network (CNN) [52,53] based visual servoing system is being adopted by many researchers. In ref.…”

Section: Visual Servoingmentioning

confidence: 99%

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Review on human‐like robot manipulation using dexterous hands

Sampath

Wang

Wu³

et al. 2023

Cognitive Comp and Systems

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In recent years, human hand‐based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task but with the advancements made in technology, dexterous hands with three, four or five‐fingered robotic hands have been developed to mimic human hand nature. However, human‐like manipulation of dexterous hands to this date remains a challenge. Thus, this review focuses on (a) the history and motivation behind the development of dexterous hands, (b) a brief overview of the available multi‐fingered hands, and (c) learning‐based methods such as traditional and data‐driven learning methods for manipulating dexterous hands. Additionally, it discusses the challenges faced in terms of the manipulation of multi‐fingered or dexterous hands.

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Section: Visual Servoingmentioning

confidence: 99%

“…The experiments in ref. [52] show that CNN can calculate better with image processing with attention mechanism in visual servoing tasks by extracting the region of interest (ROI) from the matching points of feature extraction.…”

Section: Visual Servoingmentioning

confidence: 99%