Affiliation:
1. Bristol Robotics Laboratory (BRL) University of the West of England Bristol UK
2. Antobot Ltd Cambridge UK
Abstract
AbstractIn 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.
Publisher
Institution of Engineering and Technology (IET)
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition,Experimental and Cognitive Psychology
Cited by
6 articles.
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