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Novel sensory-motor coupling in soft robotic systems

Novel sensory-motor coupling in soft robotic systems
软机器人系统中的新型感觉-运动耦合
批准号:
1942482
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
The use of soft, flexible technologies in robotic systems is a fundamental shift from the traditional basis of how a robot should be designed. Compliant, deformable materials allow many biological principles to be emulated and this emerging soft approach can create robots that robustly deal with uncertainty, interact more safely with humans and compliantly move through unstructured environments. The inherent compliance in soft robotic systems can be exploited to devolve computation away from the central high-level processor. This approach takes inspiration from nature, where organisms such as octopuses reduce computational demands on their brain by embodying intelligence into their tentacles. Biological species achieve such advanced behaviour through carefully tuned morphological parameters and a high integration of muscle and sensory elements.This PhD will investigate how a soft robotic system's artificial muscles can be integrated with local sensory receptors to enable low-level computation through proprioceptive and environmental interaction. Inspired by nature, where sensory neurons often synapse in the spinal cord rather than the brain, novel technologies will be developed to enable dynamic low-level responses. This approach will be expanded by considering how different sensory modes can be exploited to create synaptic pathways to actuation. Devolving computation to distributed sensory-motor elements in soft robots will lead to advances in the dynamic responsiveness of multiple degree-of-freedom systems and concomitant reductions in the computational loading of the central processor. Decentralising the control of the artificial muscles in soft robots will also improve their robustness to uncertainty as emergent behaviours can arise from localised sensory-motor interactions. It is envisaged that this PhD will make contributions towards the next generation of soft robotic system that can generate dynamic, multi-functional behaviours in a safe and efficient manner.
期刊论文(3)
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会议论文
DOI: 10.3389/frobt.2019.00052
发表时间: 2019
期刊: Frontiers in robotics and AI
影响因子: 3.4
作者: [Chen HY, Diteesawat RS, Haynes A, Partridge AJ, Simons MF, Werner E, Garrad M, Rossiter J, Conn AT]
通讯作者: Conn AT
Buckling Elements for Elastomer Deformation
用于弹性体变形的屈曲元件
DOI: 10.1109/robosoft.2019.8722820
发表时间: 2019
期刊:
影响因子: --
作者: [Partridge A]
通讯作者: Partridge A
DOI: 10.1109/lra.2020.2985618
发表时间: 2020-07-01
期刊: IEEE ROBOTICS AND AUTOMATION LETTERS
影响因子: 5.2
作者: [Partridge, Alix J., Conn, Andrew T.]
通讯作者: Conn, Andrew T.
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