AI and human-robot interaction: A review of recent advances and challenges

Obinna Donald, Alexander Obaigbena, Oluwaseun Augustine Lottu, Ejike David Ugwuanyi, Boma Sonimitiem Jacks, Enoch Oluwademilade Sodiya, Obinna Donald Daraojimba
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Abstract

The integration of artificial intelligence (AI) into human-robot interaction (HRI) has witnessed significant advancements in recent years, revolutionizing the way humans and robots collaborate and coexist. This review provides a comprehensive overview of the latest breakthroughs in AI-driven HRI and identifies the challenges that lie ahead. Recent years have seen a surge in AI-driven capabilities that enhance human-robot interaction. Machine learning algorithms enable robots to adapt to user preferences and behaviors, creating personalized and intuitive interactions. Natural language processing (NLP) facilitates seamless communication between humans and robots, enabling voice commands and context-aware responses. Computer vision advancements empower robots with enhanced perception, enabling them to recognize and interpret human gestures, emotions, and facial expressions. Reinforcement learning has played a pivotal role in enabling robots to learn from human feedback and optimize their actions in real-time. Socially assistive robots leverage AI to provide emotional support and companionship, particularly in healthcare and elderly care settings. Despite these advancements, challenges persist in the field of AI-driven HRI. Ethical considerations, including privacy concerns and the responsible use of AI in influencing human behavior, demand careful attention. Ensuring the safety and security of AI-driven robotic systems remains paramount, requiring robust measures against malicious attacks and unintended consequences. Human-robot trust remains a critical challenge, necessitating transparent AI algorithms and effective communication strategies. Interdisciplinary collaboration between AI researchers, roboticists, psychologists, and ethicists is essential to address the complex socio-technical aspects of HRI. The fusion of AI and human-robot interaction holds immense potential to redefine various facets of our daily lives. This review highlights recent strides in AI-driven HRI, emphasizing the need for interdisciplinary efforts to address challenges and ensure the responsible development and deployment of AI-powered robotic systems. As researchers continue to innovate, the dynamic landscape of AI and human-robot interaction promises a future where seamless collaboration and coexistence between humans and robots become an integral part of our societal fabric.
人工智能与人机互动:最新进展与挑战综述
近年来,人工智能(AI)与人机交互(HRI)的融合取得了重大进展,彻底改变了人类与机器人的协作和共存方式。本综述全面概述了人工智能驱动的人机交互技术的最新突破,并指出了未来面临的挑战。近年来,人工智能驱动的增强人机交互能力激增。机器学习算法使机器人能够适应用户的偏好和行为,从而创建个性化和直观的交互。自然语言处理(NLP)促进了人与机器人之间的无缝交流,实现了语音指令和上下文感知响应。计算机视觉技术的进步增强了机器人的感知能力,使它们能够识别和解读人类的手势、情绪和面部表情。强化学习在使机器人从人类反馈中学习并实时优化其行动方面发挥了关键作用。社交辅助机器人利用人工智能提供情感支持和陪伴,特别是在医疗保健和老年人护理领域。尽管取得了这些进步,但人工智能驱动的人机交互领域仍面临挑战。伦理方面的考虑,包括隐私问题和负责任地使用人工智能影响人类行为,都需要认真对待。确保人工智能驱动的机器人系统的安全和安保仍然至关重要,需要采取强有力的措施来防范恶意攻击和意外后果。人与机器人之间的信任仍然是一个严峻的挑战,需要透明的人工智能算法和有效的沟通策略。人工智能研究人员、机器人专家、心理学家和伦理学家之间的跨学科合作对于解决人机交互的复杂社会技术问题至关重要。人工智能与人机交互的融合蕴含着巨大的潜力,可以重新定义我们日常生活的方方面面。本综述重点介绍了人工智能驱动的人机交互技术的最新进展,强调了跨学科努力应对挑战的必要性,并确保负责任地开发和部署人工智能驱动的机器人系统。随着研究人员的不断创新,人工智能和人机交互的动态前景有望在未来成为我们社会结构中不可或缺的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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