轮椅导航和控制技术的最新进展:全面回顾

S. K. Sahoo, Bibhuti Bhusan Choudhury
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引用次数: 0

摘要

本文对有关整合人工智能(AI)以改善行动不便者的轮椅导航和控制的文献进行了系统综述。综述涵盖了一系列基于人工智能的方法,包括计算机视觉、机器学习和路径规划算法。论文强调了将人工智能融入轮椅技术的潜在好处,包括提高安全性、自主性和个性化控制。综述讨论了当前轮椅导航和控制系统的局限性和挑战,以及人工智能如何解决这些局限性。论文确定了文献中的共同主题和趋势,并总结了现有基于人工智能的轮椅导航和控制系统的优缺点。最后,本文讨论了基于人工智能的轮椅导航和控制系统未来的潜在研发方向。本综述论文为有意开发和改进基于人工智能的轮椅技术的研究人员和工程师提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI ADVANCES IN WHEELCHAIR NAVIGATION AND CONTROL: A COMPREHENSIVE REVIEW
This paper presents a systematic review of the literature on integrating artificial intelligence (AI) to improve wheelchair navigation and control for people with mobility impairments. The review covers a range of AI-based approaches including computer vision, machine learning, and path planning algorithms. The paper highlights the potential benefits of integrating AI into wheelchair technology, including increased safety, autonomy, and personalized control. The review discusses the limitations and challenges of current wheelchair navigation and control systems, and how AI can address these limitations. The paper identifies common themes and trends in the literature and summarizes the strengths and weaknesses of existing AI-based wheelchair navigation and control systems. Finally, the paper concludes by discussing the potential future directions for research and development of AI-based wheelchair navigation and control systems. This review paper provides a valuable resource for researchers and engineers interested in developing and improving AI-based wheelchair technology.
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