综述软机器人适应性设计与应用,涵盖环境与自身变化应对策略。
A Survey on Soft Robot Adaptability: Implementations, Applications, and Prospects
- 按外部与内部适应性分类,梳理设计、传感与控制方法。
- 指出适应性提升手术、穿戴设备等场景的实用性与可靠性。
- 适合关注软体机器人长期演进与跨场景通用性的研究者。
相较于刚性机器人,软机器人具备更高的自由度、柔顺性与安全性,使其在多个领域应用日益广泛。其中,适应性尤为突出。本文将软机器人的适应性分为外部适应性与内部适应性:前者指机器人主动或被动适应环境变化、物体属性、几何形状及任务动态的能力;后者指应对制造公差、材料老化等内部变异,并实现控制策略在不同机器人间的泛化能力。随着软机器人技术不断发展,适应性的重要性愈发显著。本文系统总结了提升软机器人适应性的各类方法,包括结构设计、感知机制与控制策略。同时评估了适应性在医疗手术、可穿戴设备、运动与操作等应用中的影响。此外,还讨论了当前适应性面临的局限,并展望未来研究方向。通过从实现、应用与挑战三方面分析,本综述旨在全面理解软机器人适应性的核心价值及其对多样化应用的深远影响。
原文摘要 · Abstract (English)
Soft robots, compared to rigid robots, possess inherent advantages, including higher degrees of freedom, compliance, and enhanced safety, which have contributed to their increasing application across various fields. Among these benefits, adaptability is particularly noteworthy. In this paper, adaptability in soft robots is categorized into external and internal adaptability. External adaptability refers to the robot's ability to adjust, either passively or actively, to variations in environments, object properties, geometries, and task dynamics. Internal adaptability refers to the robot's ability to cope with internal variations, such as manufacturing tolerances or material aging, and to generalize control strategies across different robots. As the field of soft robotics continues to evolve, the significance of adaptability has become increasingly pronounced. In this review, we summarize various approaches to enhancing the adaptability of soft robots, including design, sensing, and control strategies. Additionally, we assess the impact of adaptability on applications such as surgery, wearable devices, locomotion, and manipulation. We also discuss the limitations of soft robotics adaptability and prospective directions for future research. By analyzing adaptability through the lenses of implementation, application, and challenges, this paper aims to provide a comprehensive understanding of this essential characteristic in soft robotics and its implications for diverse applications.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。