Collaborative Proposal: EMT/MISC Behavior Based Molecular Robotics
合作提案:基于 EMT/MISC 行为的分子机器人
基本信息
- 批准号:0829685
- 负责人:
- 金额:$ 42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Behavior-based robotics was established around the idea that robots could be constructed by connecting elementary sensor and actuator modules, without the need to form any internal representation of the world in which they operate. When designed appropriately, such robots, both as individuals and as groups, exhibit complex and seemingly ?intelligent? behaviors, solving challenging tasks in real time, while reacting only to their local environment and obeying sets of local rules. In part, this approach to robotics was inspired by considering natural systems, such as self-organization and adaptability of social insects in their colonies. An analogous approach to initiate the development of the field of behavior-based molecular robotics will be performed over the next three years, leading to groups of molecules that would appear to an observer to show a variety of task-oriented behaviors or some form of purposeful and dynamic self-organization. Individual behavior-based molecular robots are single molecules displaying multiple sensors-actuators. When exposed to artificial landscapes displaying substrates keyed to their sensors-actuators, the molecules start executing elementary steps, determined, in a stochastic sense, by their constantly changing local environments. On some landscapes, called prescriptive, individual molecular robots and their collectives will execute algorithms mimicking wound-up automata with sequence control mechanisms. In contrast, on non-deterministic landscapes, the robots and their collectives will demonstrate properties emerging from internal organization of individual sensors and actuators and through local interactions between molecules and their environments. Importantly, these new interpretations of molecular behaviors will allow radically different experiments from all previous approaches to molecular robotics, while keeping experimental designs realistic, leading to embodiment in the physical world.
基于行为的机器人学是围绕这样一种想法建立的,即机器人可以通过连接基本的传感器和执行器模块来构建,而不需要形成它们运行所在世界的任何内部表示。如果设计得当,这样的机器人,无论是作为个人还是作为群体,都表现出复杂和表面上的智能?行为,实时解决具有挑战性的任务,同时只对当地环境做出反应,并遵守当地的规则。在一定程度上,这种机器人方法的灵感来自于考虑自然系统,例如群居昆虫在其群体中的自组织和适应性。一种类似的方法将在未来三年内启动基于行为的分子机器人领域的发展,导致在观察者看来显示各种面向任务的行为或某种形式的有目的和动态的自组织的分子群。基于个体行为的分子机器人是显示多个传感器-执行器的单分子。当暴露在人工景观中时,分子开始执行基本步骤,这些步骤是由不断变化的局部环境在随机意义上决定的。在一些被称为规定性的场景中,单个分子机器人和他们的集体将执行带有顺序控制机制的模拟上发条自动机的算法。相比之下,在非确定性的环境中,机器人及其集体将展示从单个传感器和执行器的内部组织以及分子与其环境之间的局部相互作用中产生的特性。重要的是,这些对分子行为的新解释将允许与所有以前的分子机器人方法完全不同的实验,同时保持实验设计的现实性,导致在物理世界中的体现。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Hao Yan其他文献
Refined assessment of size-fractioned particulate matter (PM2.5/PM10/PMtotal) emissions from coal-fired power plants in China
中国燃煤电厂粒度分级颗粒物(PM2.5/PM10/PMtotal)排放的精细化评估
- DOI:
10.1016/j.scitotenv.2019.135735 - 发表时间:
2020 - 期刊:
- 影响因子:9.8
- 作者:
Wu Bobo;Tian Hezhong;Hao Yan;Liu Shuhan;Sun Yujiao;Bai Xiaoxuan;Liu Wei;Lin Shumin;Zhu Chuanyong;Hao Jiming;Luo Lining;Zhao Shuang;Guo Zhihui - 通讯作者:
Guo Zhihui
Establishment and pathogenesis of mouse peanut allergy model: Establishment and pathogenesis of mouse peanut allergy model
小鼠花生过敏模型的建立及发病机制: 小鼠花生过敏模型的建立及发病机制
- DOI:
- 发表时间:
2012 - 期刊:
- 影响因子:0
- 作者:
Zhi;Chenghui Yang;Hao Yan;Xiaoyu Liu;L. Xia;Li Li - 通讯作者:
Li Li
Regulation of the phytotoxic response of Arabidopsis thaliana to the Fusarium mycotoxin deoxynivalenol
拟南芥对镰刀菌毒素脱氧雪腐镰刀菌烯醇植物毒性反应的调节
- DOI:
10.1016/s2095-3119(19)62741-3 - 发表时间:
2020-03 - 期刊:
- 影响因子:4.8
- 作者:
Yan Wang;Hao Yan;Qi Wang;Ran Zheng;Kai Xia;Yang Liu - 通讯作者:
Yang Liu
A high-resolution emission inventory of anthropogenic trace elements in Beijing-Tianjin-Hebei (BTH) region of China
中国京津冀(BTH)地区人为微量元素高分辨率排放清单
- DOI:
10.1016/j.atmosenv.2018.08.035 - 发表时间:
2018 - 期刊:
- 影响因子:5
- 作者:
Zhu Chuanyong;Tian Hezhong;Hao Yan;Gao Jiajia;Hao Jiming;Wang Yong;Hua Shenbing;Wang Kun;Liu Huanjia - 通讯作者:
Liu Huanjia
Urban energy-water nexus: Spatial and inter-sectoral analysis in a multi-scale economy
城市能源与水的关系:多规模经济中的空间和部门间分析
- DOI:
10.1016/j.ecolmodel.2019.04.020 - 发表时间:
2019-07 - 期刊:
- 影响因子:3.1
- 作者:
Nawab Asim;Liu Gengyuan;Meng Fanxin;Hao Yan;Zhang Yan - 通讯作者:
Zhang Yan
Hao Yan的其他文献
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{{ truncateString('Hao Yan', 18)}}的其他基金
Collaborative Research: Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment
协作研究:用于灾后自动化快速损害评估的多智能体自适应数据收集
- 批准号:
2316654 - 财政年份:2023
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
Self-assembled DNA crystals as scaffolds for macromolecules
自组装 DNA 晶体作为大分子支架
- 批准号:
2324944 - 财政年份:2023
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
SemiSynBio-III: DNA Templated Chiral Metamaterials for Information Storage
SemiSynBio-III:用于信息存储的 DNA 模板手性超材料
- 批准号:
2227650 - 财政年份:2022
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
Rational design of self-assembled, three-dimensional DNA crystals
自组装三维DNA晶体的合理设计
- 批准号:
2004250 - 财政年份:2020
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
SemiSynBio-II: DNA-Based Memory for High-Density Information Storage and Molecular Cryptography with Fast Readout Methods
SemiSynBio-II:基于 DNA 的存储器,用于高密度信息存储和具有快速读出方法的分子密码学
- 批准号:
2027215 - 财政年份:2020
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
ATD: Collaborative Research: Adaptive and Rapid Spatial-Temporal Threat Detection over Networks
ATD:协作研究:网络上的自适应快速时空威胁检测
- 批准号:
1830363 - 财政年份:2018
- 资助金额:
$ 42万 - 项目类别:
Continuing Grant
Student and Postdoc Travel Support for International Workshop on Future trends in DNA-based nanotechnology
基于 DNA 的纳米技术未来趋势国际研讨会的学生和博士后旅行支持
- 批准号:
1707491 - 财政年份:2017
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
Bilateral NSF/BIO-BBSRC: Synthetic DNA Nanopores for Selective Transmembrane Transport
双边 NSF/BIO-BBSRC:用于选择性跨膜运输的合成 DNA 纳米孔
- 批准号:
1644745 - 财政年份:2016
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
AF: Medium: Collaborative Research: Top-down algorithmic design of structured nucleic acid assemblies
AF:中:协作研究:结构化核酸组装体的自上而下的算法设计
- 批准号:
1563799 - 财政年份:2016
- 资助金额:
$ 42万 - 项目类别:
Continuing Grant
EAGER: Collaborative Research: Algorithmic design principles for programmed DNA nanocages
EAGER:协作研究:编程 DNA 纳米笼的算法设计原理
- 批准号:
1547962 - 财政年份:2015
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
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