课题基金 / 基金详情

Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs

Collaborative Research: NSF Workshop on Automated, Programmable and Self Driving Labs
合作研究:NSF 自动化、可编程和自动驾驶实验室研讨会
批准号:
2335908
负责人:
Nadya Peek
金额:
$7.59万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-10-01 至 2024-09-30

项目摘要

项目成果

Nadya Peek的其他基金

相似基金

相关文献

中文摘要
翻译
实验室自动化提高了科学实验的精度和效率。低成本传感器、执行器、机器人系统和控制系统的进步降低了进入实验室自动化的门槛,使得完全自动驾驶的实验室将有可能实现新的科学实验实践,并加快科学探索进程。迫切需要为自动驾驶实验室制定原则和方法。这些系统可能会借鉴在数据科学、人机交互、制造和质量控制、开源生态系统和实验室科学方法方面学到的最佳做法和经验。拟议的研讨会将召集自动驾驶实验室和相关领域的领导人,包括数据科学、机器人、制造和开源生态系统,以确定自动驾驶实验室的路线图。专家们将讨论自动化样品制备、实验生成、数据收集和数据分析方面的最新进展和当前挑战。讲习班将帮助确定主要主题,并评估如何在研究背景下最好地支持未来相互关联的目标。通过召集社区领袖围绕相关主题,研讨会将在能够支持广泛科学的基础设施上促成跨学科合作,其中可能包括更复杂的实验,以加速科学发现并执行具有成本效益的验证和验证。该奖项反映了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
Laboratory automation increases precision and efficiency of science experiments. Advances in low-cost sensors, actuators, robotic systems, and control systems have lowered the barrier to entry to laboratory automation such that fully self-driving labs will have the potential to enable new practices of science experiment and to accelerate scientific exploration progress. There is a critical need to develop the principles and methodologies for self-driving laboratories. These systems will likely draw from best practices and experiences learned in data science, human-machine interaction, manufacturing and quality control, open-source ecosystems, and laboratory science methods. The proposed workshop will convene leaders in self-driving laboratories and related areas including data science, robotics, manufacturing, and open-source ecosystems to define a roadmap for self-driving laboratories. Experts will discuss on latest advances and current challenges in automated sample preparation, experiment generation, data collection, and data analysis. The workshop will help identify major themes and assess on how future, interconnected goals can be best supported in a research context. By convening community leader around related topics, the workshop will seed cross-discipline collaboration on infrastructure that can support a broad range of sciences, which may include more complex experiments to accelerate scientific discovery and perform cost effective verification and validation.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(0)
专著(0)
科研奖励(0)
会议论文
CAREER: Toolkits for Digital/Physical Workflows
  • 批准号:
    2339273
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $71.31万
  • 财政年份:
    2024
  • 负责人:
    Nadya Peek
  • 依托单位:
POSE: Phase I: Pathways to Open-Source Hardware for Laboratory Automation
  • 批准号:
    2229018
  • 项目类别:
    Standard Grant
  • 资助金额:
    $28.96万
  • 财政年份:
    2022
  • 负责人:
    Nadya Peek
  • 依托单位:
NRI: FND: Multi-Manipulator Extensible Robotic Platforms
  • 批准号:
    2024435
  • 项目类别:
    Standard Grant
  • 资助金额:
    $70.0万
  • 财政年份:
    2020
  • 负责人:
    Nadya Peek
  • 依托单位:
CHS: Small: Collaborative Research:Dynamic Computer-Aided Machining: Supporting Interactive Workflows for Digital Fabrication and Manufacturing
  • 批准号:
    2007045
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.01万
  • 财政年份:
    2020
  • 负责人:
    Nadya Peek
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)