软机器人中以传感器为中心的五大挑战

Kunal Singh, Ajit Khosla, Shilpa Gupta
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引用次数: 0

摘要

软机器人技术,在复杂的环境中提供精确的动作,站在各个领域变革进步的边缘。为了实现这一潜力,该领域必须解决五个关键挑战:创造软实力和控制机制,强调可持续性,培养先进智能,以及标准化的必要性。这一观点主张以感官反馈系统为基础的解决方案,旨在巩固软机器人的基础,确保其可持续性,增强机器人智能的适应性,并为可扩展的机器人生产奠定基础。为了应对这些挑战,我们的目标是为一个更具包容性的软机器人技术时代铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perspective—Five Sensor-Centric Grand Challenges in Soft Robotics
Soft robotics, offering precise actions in complex environments, stands at the brink of transformative advancements across diverse fields. To realize this potential, the field must address five key challenges: creation of soft power and control mechanisms, emphasis on sustainability, cultivation of advanced intelligence, and the imperative for standardization. This perspective argues for solutions grounded in sensory feedback systems, aiming to fortify the foundation of soft robotics, ensure its sustainability, enhance adaptability in robot intelligence, and set the stage for scalable robot production. Addressing these challenges, we aim to pave the way for a more inclusive era of soft robotic technology.
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