van Veggel Stein, Wiertlewski Michaël, Doubrovski Eugeni L, Kooijman Adrie, Shahabi Ebrahim, Mazzolai Barbara, Scharff Rob B N
Department of Sustainable Design Engineering, Delft University of Technology, Delft, 2628 CE, The Netherlands.
Cognitive Robotics Department, Delft University of Technology, Delft, 2628 CD, The Netherlands.
Adv Sci (Weinh). 2024 Aug;11(30):e2400806. doi: 10.1002/advs.202400806. Epub 2024 Jun 14.
The emergence of the field of soft robotics has led to an interest in suction cups as auxiliary structures on soft continuum arms to support the execution of manipulation tasks. This application poses demanding requirements on suction cups with respect to sensorization, adhesion under non-ideal contact conditions, and integration into fully soft systems. The octopus can serve as an important source of inspiration for addressing these challenges. This review aims to accelerate research in octopus-inspired suction cups by providing a detailed analysis of the octopus sucker, determining meaningful performance metrics for suction cups on the basis of this analysis, and evaluating the state-of-the-art in suction cups according to these performance metrics. In total, 47 records describing suction cups are found, classified according to the deployed actuation method, and evaluated on performance metrics reflecting the level of sensorization, adhesion, and integration. Despite significant advances in recent years, the octopus sucker outperforms all suction cups on all performance metrics. The realization of high resolution tactile sensing in suction cups and the integration of such sensorized suction cups in soft continuum structures are identified as two major hurdles toward the realization of octopus-inspired manipulation strategies in soft continuum robot arms.
软机器人技术领域的出现引发了人们对吸盘作为软连续体手臂上辅助结构的兴趣,以支持操纵任务的执行。这种应用对吸盘在传感、非理想接触条件下的附着力以及集成到全软系统方面提出了苛刻的要求。章鱼可以作为应对这些挑战的重要灵感来源。本综述旨在通过对章鱼吸盘进行详细分析、基于该分析确定吸盘有意义的性能指标,并根据这些性能指标评估吸盘的最新技术水平,来加速受章鱼启发的吸盘研究。总共发现了47条描述吸盘的记录,根据所采用的驱动方法进行分类,并根据反映传感、附着力和集成水平的性能指标进行评估。尽管近年来取得了重大进展,但章鱼吸盘在所有性能指标上都优于所有吸盘。吸盘高分辨率触觉传感的实现以及这种传感吸盘在软连续体结构中的集成被认为是在软连续体机器人手臂中实现受章鱼启发的操纵策略的两个主要障碍。