Elastomeric Strain Limitation for Design of Soft Pneumatic Actuators
Gregory M. Campbell
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
Modern robots embody power and precision control. Yet, as robots undertake tasks that apply forces on humans, this power brings risk of injury. Soft robotic actuators use deformation to produce smooth, continuous motions and conform to delicate objects while imparting forces capable of safely pushing humans. This thesis presents strategies for the design, modeling, and strain-based control of human-safe elastomeric soft pneumatic actuators (SPA) for force generation, focusing on embodied mechanical response to simple pressure inputs. We investigate electroadhesive (EA) strain limiters for variable shape generation, rapid force application, and targeted inflation trajectories. We attach EA clutches to a concentrically strain-limited elastomeric membrane to alter the inflation trajectory and rapidly reorient the inflated shape. We expand the capabilities of EA for soft robots by encasing them in elastomeric sheaths and varying their activation in real time, demonstrating applications in variable trajectory inflation under identical pressure sweeps. We then address the problem of trajectory control in the presence of external forces by modeling the pressure-trajectory relationship for a concentrically strain-limited class of silicone actuators. We validate theoretical models based on material properties and energy minimization using active learning and automated testing. We apply our ensemble of neural networks for inverse membrane design, specifying quasi-static mass lift trajectories from a simple pressure sweep. Finally, we demonstrate the power of multiple pressure-linked actuators in a proof-of-concept mannequin leg lift.
关键词
相关论文
面向学习与规划的并行可微可达性:具有认证神经动力学与控制器的系统
Keyi Shen, Glen Chou
2026
人工智能增强的智能焊接岛:基础模型革新制造业
Xiwei Wu, Wei Wu, Qiqi Chen 等 9 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于深度强化学习和动态图神经网络的多任务机器人调度代理
Hedi Boukamcha, Anas Neumann, Monia Rekik 等 6 位作者
Robotics and Computer-Integrated Manufacturing · 2026
基于微调与AAS增强检索的LLM驱动自动化DFA评估
Jiaxin Liu, Xiaofeng Zhou, Suyang Yu 等 8 位作者
Robotics and Computer-Integrated Manufacturing · 2026