NRI-Large: Collaborative Research: Soft Compliant Robotic Augmentation for Human-Robot Teams

NRI-Large：协作研究：人机团队的软兼容机器人增强

• 批准号: 1226883
• 负责人: Daniela Rus
• 金额: $ 109.97万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1226883&HistoricalAwards=false
• 关键词: NRI; Large; Collaborative; Research; Soft

This proposal addresses the hardware, control and planning technologies required to achieve soft robotic systems, in order to offer inherent safety and adaptation to the human-machine systems of the future. The project is motivated by a broad range of aspects of human-robot interaction, including soft augmentation tools for safe compliant manipulation, soft exoskeletons for rehabilitation of neuromuscular disorders, or active clamping systems that can conform to arbitrary surfaces. The proposed research will address the algorithmic and device-level challenges that arise in the design of soft compliant robots capable of pose-invariant and shape-invariant grasping. A combination of algorithmic solutions to modeling, control, planning, and adaptation will lead to new soft compliant manipulators that do not need accurate geometric models for grasping. By designing soft compliant fingers and hands, new approaches to grasp planning and manipulation will be enabled. A novel composable actuation system and supporting planning and control algorithms with features inspired by natural muscle will be developed.Broader Impacts: Soft robots are inherently low-cost. Affordable soft manipulators will enable in-home assistants for the elderly or incapacitated, but these robots must be able to manipulate the natural world as easily as people do. The next generation robot manipulators will also support new levels of factory automation, in which robots will work synergistically with humans with the ultimate goal of reducing the cost of manufacturing in the USA. The proposed soft devices will provide a new approach to assistive and rehabilitative usage of compliant robotic platforms. Their functional compliant properties will enable them to work side-by-side with human beings or as part of their bodies, to augment and improve human productivity and performance. This new wearable soft robotic technology will not only help workers perform tasks, but also improve the quality of life for many people. In addition, the PIs have a long tradition of integrating research and education by providing research training at all levels, from high-school teachers and students to undergraduate and graduate students, and postdocs. A range of activities to reach out to undergraduate students, high-school communities, women and minorities is planned.

该提案涉及实现软机器人系统所需的硬件、控制和规划技术，以便为未来的人机系统提供固有的安全性和适应性。该项目的动机是人机交互的广泛方面，包括用于安全顺从操作的软增强工具、用于神经肌肉疾病康复的软外骨骼或可以适应任意表面的主动夹紧系统。拟议的研究将解决在设计能够实现姿势不变和形状不变抓取的软柔顺机器人中出现的算法和设备级挑战。建模、控制、规划和适应的算法解决方案的组合将产生新的软柔性机械手，不需要精确的几何模型来抓取。通过设计柔软的手指和手，将实现掌握规划和操作的新方法。将开发一种新颖的可组合驱动系统以及支持规划和控制算法，其功能受到自然肌肉的启发。更广泛的影响：软机器人本质上是低成本的。经济实惠的软机械手将为老年人或丧失行为能力的人提供家庭助理，但这些机器人必须能够像人类一样轻松地操纵自然世界。下一代机器人操纵器还将支持工厂自动化的新水平，其中机器人将与人类协同工作，最终目标是降低美国的制造成本。拟议的软设备将为兼容机器人平台的辅助和康复使用提供一种新方法。它们的功能性顺应特性将使它们能够与人类并肩工作或作为人类身体的一部分，以增强和提高人类的生产力和绩效。这种新型可穿戴软机器人技术不仅可以帮助工人执行任务，还可以改善许多人的生活质量。此外，PI 有着将研究和教育结合起来的悠久传统，提供从高中教师和学生到本科生和研究生以及博士后等各个级别的研究培训。计划开展一系列面向本科生、高中社区、妇女和少数族裔的活动。