The case against machine vision for the control of wearable robotics: Challenges for commercial adoption

IF 26.1 1区计算机科学 Q1 ROBOTICS Science Robotics Pub Date : 2025-01-29 DOI:10.1126/scirobotics.adp5005

Keya Ghonasgi, Kyle J. Kaveny, David Langlois, Leifur D. Sigurðarson, Tim A. Swift, Jason Wheeler, Aaron J. Young

引用次数: 0

Abstract

Deploying machine vision for wearable robot control faces challenges in terms of usability, reliability, privacy, and costs.

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来源期刊

Science Robotics Mathematics-Control and Optimization

CiteScore

30.60

自引率

2.80%

发文量

期刊介绍： Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.

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