NRI: INT: Dexterous Compliant Manipulation Using Delta Robot Arrays
NRI: INT: Dexterous Compliant Manipulation Using Delta Robot Arrays
批准号:
2024794
负责人:
Fatma Zeynep Temel
金额:
$149.85万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
中文摘要
这项国家机器人倡议项目将通过创造由柔顺Delta机器人阵列组成的新型灵巧机器人来促进科学进步,促进国家繁荣和福祉。许多协作机器人(协作式机器人)应用要求在人周围进行安全、灵巧和精细的操作。例如,在帮助人们服药的物理辅助任务中,机器人必须能够打开药瓶,抓住小药丸,并轻轻地将药丸喂给人类。所有这些任务都需要复杂的操作能力,这是人类用手指和指尖自然完成的,但目前大多数机器人操作器都缺乏。人类的手并不是唯一能够实现灵巧和精细操作的形状因素。这笔赠款的重点是建造由小型顺应机器人阵列组成的灵活机械手,这些机器人同步工作,实现复杂的操作技能。3D打印等可访问的制造技术降低了机器人技术的准入门槛,这使得这些机器人不仅可以作为医疗保健和其他应用程序的辅助协作机器人,还可以作为从K-12到研究生院的教育工具。这个项目涵盖了一种新型协作机器人操作系统的整个开发流程,贡献:(1)单个Delta机器人的硬件设计和制造,使用模块化和易于复制的组件研究几何、材料、致动和传感的新颖组合;(2)能够主动校准自己并处理由于制造缺陷或磨损造成的实时变化的控制模型;(3)协调分布式Delta机器人阵列为单个有效操纵器的操作策略;以及(4)解决近距离物理辅助任务中的性能、安全性和人类感知问题的人-机器人交互设计。这一变革性的研究扩大了并联机器人的设计空间,使其能够用作安全和柔顺的机械手指。Delta机器人阵列可针对特定任务进行定制,并可通过其模块化设计和统一的协调框架很好地进行扩展。3D打印和激光加工等易于获得的制造方法,以及机器人的自我校准控制模型,降低了广泛使用的进入门槛。最后但并非最不重要的一点是,这些安全、灵巧和顺从的机器人手指可以通过开发帮助人类进行重要身体活动(如服药)的机械手来对社会产生影响。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This National Robotics Initiative project will promote the progress of science and advance the national prosperity and welfare by creating novel dexterous robotic manipulators consisting of arrays of compliant delta robots. Many collaborative robot (co-robot) applications require safe, dexterous, and delicate manipulation around people. For example, in the physically assistive task of helping people take medication, a robot must be able to open a pill bottle, grasp a small pill, and gently feed that pill to a human. All of these tasks require sophisticated manipulation abilities, which are naturally performed by humans using their fingers and fingertips, but most current robot manipulators are lacking. The human hand is not the only form factor capable of achieving dexterous and delicate manipulation. This grant focuses on building dexterous manipulators consisting of arrays of small compliant robots that work in sync to achieve sophisticated manipulation skills. Accessible fabrication techniques like 3D printing lower barriers to access for robotic technologies, which makes these robots great candidates not only as assistive co-robots in healthcare and other applications but also as educational tools from K-12 to graduate school.This project covers the full pipeline of development for a novel co-robot manipulation system, contributing: (1) Hardware design and fabrication of individual delta robots, investigating novel combinations of geometry, materials, actuation, and sensorization using modular and easily replicable components; (2) Control models that can actively calibrate themselves and handle real-time variations caused by fabrication imperfections or wear and tear; (3) Manipulation strategies that coordinate a distributed array of delta robots into a single effective manipulator, capable of sophisticated manipulations such as in-hand object rotation; and (4) Design of human-robot interactions that address performance, safety, and human perception in close-proximity physically assistive tasks. This transformative research expands the design space of parallel manipulators, enabling them to be used as safe and compliant robotic fingers. The delta robot arrays are customizable for a specific task and scale well through their modular design and unified framework for coordination. Accessible manufacturing methods like 3D printing and laser machining, along with the robots' self-calibrating control models, lower barriers to entry for widespread use. Last but not least, these safe, dexterous, and compliant robotic fingers can have an impact on society by enabling the development of manipulators that assist humans with important physical activities such as taking medication.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(6)
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DOI:
10.1007/978-3-030-71151-1_7
发表时间:
2020
期刊:
影响因子:
--
作者:
[Pragna Mannam;Oliver Kroemer;F. Z. Temel]
通讯作者:
Pragna Mannam;Oliver Kroemer;F. Z. Temel
Towards Robust Planar Translations using Delta-manipulator Arrays
使用 Delta 操纵器阵列实现稳健的平面平移
DOI:
10.1109/icra48506.2021.9561003
发表时间:
2021
期刊:
International Conference on Robotics and Automation
影响因子:
--
作者:
[Thompson, Skye, Mannam, Pragna, Temel, Zeynep, Kroemer, Oliver]
通讯作者:
Kroemer, Oliver
Contact Mode Guided Motion Planning for Quasidynamic Dexterous Manipulation in 3D
用于 3D 准动态灵巧操作的接触模式引导运动规划
DOI:
10.1109/icra46639.2022.9811872
发表时间:
2022
期刊:
2022 International Conference on Robotics and Automation (ICRA
影响因子:
--
作者:
[Cheng, Xianyi, Huang, Eric, Hou, Yifan, Mason, Matthew T.]
通讯作者:
Mason, Matthew T.
DeltaZ: An Accessible Compliant Delta Robot Manipulator for Research and Education
DeltaZ:一款用于研究和教育的无障碍兼容 Delta 机器人机械手
DOI:
10.1109/iros47612.2022.9981257
发表时间:
2022
期刊:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS
影响因子:
--
作者:
[Patil, Sarvesh, Alvares, Samuel C., Mannam, Pragna, Kroemer, Oliver, Temel, F. Zeynep]
通讯作者:
Temel, F. Zeynep
Linear Delta Arrays for Compliant Dexterous Distributed Manipulation
线性 Delta 阵列实现灵活的分布式操作
DOI:
10.1109/icra48891.2023.10160578
发表时间:
2023
期刊:
2023 International Conference on Robotics and Automation (ICRA
影响因子:
--
作者:
[Patil, Sarvesh, Tao, Tony, Hellebrekers, Tess, Kroemer, Oliver, Temel, F. Zeynep]
通讯作者:
Temel, F. Zeynep
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