Biologically inspired transportation: a distributed intelligent conveyor

受生物启发的运输:分布式智能输送机

基本信息

  • 批准号:
    EP/H023631/1
  • 负责人:
  • 金额:
    $ 45.99万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2011
  • 资助国家:
    英国
  • 起止时间:
    2011 至 无数据
  • 项目状态:
    已结题

项目摘要

A parallel manipulator is a massive array of simple individual actuators with a small power density that collectively transport and position objects with masses considerably higher than the force generated by a single actuator alone. This design is inspired by the biological phenomena of cilia, small hair-like structures on the surface of cells which can either sense local properties such as in the rod photoreceptors for vision or in olfactory neurons for smell, or can move in coordinated wave action to move liquid over their surface, as in the trachea and kidneys. Employing these capabilities in an analogous array of micro-actuators will produce a conveyor of parallel intelligent manipulation able to sense object properties, move them in different directions and effectively sort objects according to their properties. Crucially, the actuator array will be capable of communicating local information about objects to other parts of the array to enable coordinated action.Parallel intelligent manipulation plays an increasingly important role in intelligent robotics, computer science and intelligent manufacturing systems. Significant advantages of the distributed manipulating system are task flexibility (it can be dynamically reprogrammed to implement another task); massive-parallelism (it can process several different objects simultaneously, and different parts of the manipulator can perform separate tasks concurrently); fault tolerance (faults in single actuators do not restrict performance of the system as a whole, so operation of the system can be maintained); autonomy; and the ability to process objects simultaneously and independently.The overarching aim of the project is to build an intelligent autonomous massively parallel manipulator for distributed sensing, recognition, analysis, sorting, transportation and manipulation of light-weight objects. A paradigm of reaction-diffusion computing, i.e. information processing and computation by spreading wave-patterns in non-linear media, will be employed in the control system of the manipulator.Using evolutionary computation and machine learning, we will develop new principles and implementations for non-linear medium based control, and introduce a range of algorithms for distributed sensing (of object properties such as shape), filtration (sorting different objects according to common characteristics), orienting (ensure objects are facing and moving in the correct direction), positioning (moving objects into the correct path of travel on a different part of the manipulator) and shape-determined transportation of the objects.This manipulator system not only has the potential to impact upon the academic community in terms of the advancement of evolutionary algorithms, reaction-diffusion computing, and intelligent robotic systems, but also has ready application domains in industry such as high-tech manufacturing, enabling an advanced network of sensors to control dynamics of mechanical components, automation of assembly of nano-devices, and medical applications such as prostheses and computer controlled implants.
并联机械手是一个大规模的简单的单个驱动器阵列,具有小的功率密度,共同运输和定位物体的质量大大高于由单个驱动器单独产生的力。这种设计的灵感来自于纤毛的生物现象,纤毛是细胞表面上的小毛发状结构,可以感知局部特性,例如在视觉的视杆光感受器或嗅觉神经元中的嗅觉,或者可以在协调的波动中移动,以在其表面上移动液体,如在气管和肾脏中。在类似的微致动器阵列中使用这些功能将产生并行智能操作的传送带,能够感测物体属性,将它们在不同的方向上移动,并根据它们的属性有效地对物体进行分类。最重要的是,执行器阵列将能够将物体的局部信息传递给阵列的其他部分,以实现协调动作。并行智能操作在智能机器人、计算机科学和智能制造系统中发挥着越来越重要的作用。分布式操作系统的显著优点是任务灵活性(它可以动态地重新编程以实现另一个任务);并行性(它可以同时处理几个不同的物体,机械手的不同部分可以同时执行单独的任务);容错(单个致动器中的故障不限制系统作为整体的性能,因此可以维持系统的操作);自主性;该项目的总体目标是建立一个智能自主的大规模并联机械手分布式传感,识别,分析,分类,运输和操作的轻质物体。在机械臂的控制系统中,将采用反应扩散计算的范例,即通过在非线性介质中传播波型来进行信息处理和计算,利用进化计算和机器学习,我们将开发基于非线性介质的控制的新原理和实现,并介绍一系列分布式传感的算法(对象属性,如形状),过滤(根据共同特征对不同对象进行排序),(确保对象面向正确的方向并朝正确的方向移动),定位(将物体移动到操纵器的不同部分上的正确行进路径中)和形状-该机械手系统不仅有可能在进化算法、反应扩散计算和智能机器人系统的进步方面对学术界产生影响,而且在工业中具有现成的应用领域,例如高科技制造,使得能够实现先进的传感器网络来控制机械部件的动力学、纳米器件组装的自动化以及医疗应用,例如假体和计算机控制的植入物。

项目成果

期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
From the Human Spine to Hyperredundant Robots: The ERMIS Mechanism
Using Memristors to Handle Cell Failures in Flexible Networks: From Programmed Cell Death to Zombies
使用忆阻器处理灵活网络中的细胞故障:从程序性细胞死亡到僵尸
  • DOI:
    10.1016/j.procir.2013.07.024
  • 发表时间:
    2013
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthews O
  • 通讯作者:
    Matthews O
UAV Horizon Tracking using Memristors and Cellular Automata Visual Processing
使用忆阻器和元胞自动机视觉处理的无人机地平线跟踪
Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) - Learning, Optimization and Interdisciplinary Applications
自然启发的优化合作策略 (NICSO 2013) - 学习、优化和跨学科应用
  • DOI:
    10.1007/978-3-319-01692-4_20
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Georgilas I
  • 通讯作者:
    Georgilas I
Preface
前言
  • DOI:
    10.2174/138920292401230610190952
  • 发表时间:
    2023-06-23
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
  • 通讯作者:
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Andrew Adamatzky其他文献

Tuning electrical spiking of Schizophyllum commune with light
用光调节裂褶菌公社的电尖峰
  • DOI:
    10.1101/2023.09.26.559269
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Davin Browner;Andrew Adamatzky;Ella Schunselaar;H. Wösten;Phil Ayres
  • 通讯作者:
    Phil Ayres
Collision-based computing implemented by soldier crab swarms
士兵蟹群实现的基于碰撞的计算
On Emergence of Spontaneous Oscillations in Kombucha and Proteinoids
  • DOI:
    10.1007/s12668-024-01678-5
  • 发表时间:
    2024-12-05
  • 期刊:
  • 影响因子:
    3.200
  • 作者:
    Panagiotis Mougkogiannis;Anna Nikolaidou;Andrew Adamatzky
  • 通讯作者:
    Andrew Adamatzky
International Workshop “Bio-Inspired Information Pathways”
“仿生信息通路”国际研讨会
  • DOI:
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Andrew Adamatzky;Scientific Biography
  • 通讯作者:
    Scientific Biography
Influence of proteinoids on calcium carbonate polymorphs precipitation in supersaturated solutions
  • DOI:
    10.1016/j.rechem.2024.101950
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Panagiotis Mougkogiannis;Andrew Adamatzky
  • 通讯作者:
    Andrew Adamatzky

Andrew Adamatzky的其他文献

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{{ truncateString('Andrew Adamatzky', 18)}}的其他基金

Computing with proteionids
使用 proteionids 进行计算
  • 批准号:
    EP/W010887/1
  • 财政年份:
    2022
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
Computing with Liquid Marbles
使用液体弹珠进行计算
  • 批准号:
    EP/P016677/1
  • 财政年份:
    2017
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
Learning and computation in disordered networks of memristors: theory and experiments
忆阻器无序网络中的学习和计算:理论和实验
  • 批准号:
    EP/H014381/1
  • 财政年份:
    2010
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
EPSRC Workshop on Cellular Automata Theory and Applications
EPSRC 元胞自动机理论与应用研讨会
  • 批准号:
    EP/F042442/1
  • 财政年份:
    2008
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
Representation of particle dynamics in cellular automata by regular languages
用常规语言表示元胞自动机中的粒子动力学
  • 批准号:
    EP/F054343/1
  • 财政年份:
    2008
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
GENERAL PURPOSE SPATIAL COMPUTATION
通用空间计算
  • 批准号:
    EP/F003811/1
  • 财政年份:
    2008
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
EPSRC Workshop on Unconventional Computing
EPSRC 非常规计算研讨会
  • 批准号:
    EP/E04381X/1
  • 财政年份:
    2007
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
DYNAMICAL LOGICAL CIRCUITS IN SUBEXCITABLE CHEMICAL MEDIA Pilot project: PhD Studentship in Collision-Based Computing in Excitable Media
亚激励化学介质中的动态逻辑电路试点项目:可激励介质中基于碰撞的计算博士生
  • 批准号:
    EP/E016839/1
  • 财政年份:
    2007
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
EMERGENCE OF COMPUTATION IN CELLULAR AUTOMATA PILOT PROJECT: PHENOMENOLOGY OF MOBILE SELF-LOCALISATIONS DYNAMICS
元胞自动机试点项目中计算的出现:移动自定位动力学现象学
  • 批准号:
    EP/D066174/1
  • 财政年份:
    2006
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant
Evolutionary Design of Collision-based Computing Schemes in Two-dimensional Cellular Automata
二维元胞自动机中基于碰撞的计算方案的进化设计
  • 批准号:
    EP/E005241/1
  • 财政年份:
    2006
  • 资助金额:
    $ 45.99万
  • 项目类别:
    Research Grant

相似国自然基金

多层次纳米叠层块体复合材料的仿生设计、制备及宽温域增韧研究
  • 批准号:
    51973054
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    2019
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    60.0 万元
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Convergence Accelerator Track M: Bio-Inspired Design of Robot Hands for Use-Driven Dexterity
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