Robot Technologies(机器人技术)研究综述
Robot Technologies 机器人技术 - There are reports that COVID-19 drives adoption of robot technologies, and that health institutions are more positive to the use of robots due to the lower risk of virus spread, among other reasons. [1] The specific focus of this article is on biomimetic insect-robot technologies; specifically the development of robots that imitate swarming behavior. [2] Soft/Social/Systemic (3S) Robot Technologies have great potentials for enhancing the Quality of New Normal (QoNN). [3] Building trust in robots through social interactions has a major impact on user experience and adoption of robot technologies. [4] Increasingly, people must interact with robot technologies. [5] The AI and Robot Technologies had the potential to solve these problems very smartly. [6] Robot technologies are quickly advancing beyond the insights of the existing science. [7] Artificial intelligence and robot technologies for colonoscopy are being studied to compensate for these problems. [8] Nowadays robotics is a rapidly developing branch of science with robot technologies being used for various purposes. [9] Although these robot technologies have become more affordable, easier to integrate, and greater in functional capability, these advanced systems increase workcell complexity leading to the presence of more fault and failure modes. [10] Recent regulatory initiatives in the European Union (EU) aim at mitigating the risks posed by robot technologies. [11] This article brings all these findings into the debate on whether the adoption of therapeutic AI and robot technologies are adequate, not only to raise awareness of the possible impacts of this technology but also to help steer the development and use of AI and robot technologies in therapeutic settings in the appropriate direction. [12] Together with innovations in robot technologies and the emergence of the fourth industrial revolution called Industry 4. [13] Many of these robot technologies are specialized in language information such as speech recognition and sentence comprehension. [14] In parallel with the significant and exciting advancements in robot technologies, the use of humanoid robots to support teaching strategies and learning goals has become a popular topic. [15] The advent of the digital era brings with it the dream of ‘transcending the human’ through the most sophisticated AI / robot technologies. [16] This paper presents a preliminary research on introduction of robot technologies to the work environment of therapists including treatment preparation, management and even therapy sessions. [17] As a result of research, even though it still has some technical difficulties in practice, it is obtained that smart factories can provide automation by supporting the production equipment with robot technologies, and it can update with the help of machines or easily adapt to new environments. [18]有报道称，COVID-19 推动了机器人技术的采用，由于病毒传播风险较低等原因，卫生机构对机器人的使用更加积极。 [1] 本文的重点是仿生昆虫机器人技术；特别是模仿蜂群行为的机器人的发展。 [2] 软/社会/系统 (3S) 机器人技术在提高新常态 (QoNN) 的质量方面具有巨大潜力。 [3] 通过社交互动建立对机器人的信任对用户体验和机器人技术的采用具有重大影响。 [4] 人们越来越多地必须与机器人技术互动。 [5] 人工智能和机器人技术有可能非常聪明地解决这些问题。 [6] 机器人技术正在迅速超越现有科学的洞察力。 [7] 正在研究用于结肠镜检查的人工智能和机器人技术以弥补这些问题。 [8] 如今，机器人技术是一个快速发展的科学分支，机器人技术被用于各种目的。 [9] 尽管这些机器人技术变得更实惠、更易于集成且功能更强大，但这些先进系统增加了工作单元的复杂性，导致出现更多故障和故障模式。 [10] 欧盟 (EU) 最近的监管举措旨在减轻机器人技术带来的风险。 [11] 本文将所有这些发现带入关于采用治疗性 AI 和机器人技术是否足够的辩论，不仅是为了提高对该技术可能影响的认识，而且有助于引导 AI 和机器人技术在治疗中的开发和使用设置在适当的方向。 [12] 连同机器人技术的创新和第四次工业革命的出现，称为工业 4。 [13] 这些机器人技术中有许多专门研究语言信息，例如语音识别和句子理解。 [14] 在机器人技术取得重大而令人兴奋的进步的同时，使用仿人机器人来支持教学策略和学习目标已成为一个热门话题。 [15] 数字时代的到来带来了通过最尖端的人工智能/机器人技术“超越人类”的梦想。 [16] 本文介绍了将机器人技术引入治疗师工作环境的初步研究，包括治疗准备、管理甚至治疗课程。 [17] 经过研究，虽然在实践中还存在一些技术难点，但 发现智能工厂可以通过用机器人技术支持生产设备来提供自动化，以及 它可以在机器的帮助下更新或轻松适应新环境。 [18]
Underwater Robot Technologies
Underwater robot technologies are crucial for marine resource exploration and autonomous manipulation, and many breakthroughs have been achieved with key indicators (e. [1] In this dissertation, we aim to extend the development of underwater robot technologies by investigating and implementing robotics vehicles and, applying and evaluating localization and mapping approaches towards autonomous navigation. [2]水下机器人技术对于海洋资源勘探和自主操纵至关重要，在关键指标（如 [1] 在本论文中，我们的目标是通过研究和实施机器人车辆以及应用和评估自主导航的定位和映射方法来扩展水下机器人技术的发展。 [2]
Agricultural Robot Technologies 农业机器人技术
Finally, robot-crop interaction simulation, big data support and artificial intelligence are regarded as paths to realize the breakthrough of key agricultural robot technologies. [1] Finally, robot-crop interaction simulation, big data support, and artificial intelligence are regarded as paths to realize the breakthrough of key agricultural robot technologies. [2]最后，机器人与作物交互仿真、大数据支持和人工智能被视为实现农业机器人关键技术突破的路径。 [1] 最后，机器人与作物交互仿真、大数据支持、人工智能等被视为实现农业机器人关键技术突破的路径。 [2]