NCS-FR: Insect-based brain-machine interfaces and robots for understanding odor-driven navigation

与人类和其他哺乳动物相比，昆虫的神经系统相对简单，但它们拥有丰富的行为反应，可以在极端的能量限制下工作。这项工作的目标是研究行走和飞行的昆虫是如何跟随气味踪迹的，以及如何利用这些洞察力来开发新的生物机器人平台。因此，研究昆虫可以激励具有类似能力的下一代计算算法、硬件和机器人的发展。为了实现这一目标，将开发并使用一系列工具来实现生物机器人。同时，用于探索和导航的生物算法将被转化为受大脑启发的计算和硬件方法(即神经形态算法和硬件)。这种跨学科的研究允许研究和教育的积极整合，以促进培养能够流畅地横跨科学和工程的新一代学生。拟议研究的一些方面也将纳入由各自机构的研究人员团队教授的本科生和研究生的高级班级。这项工作的组成部分将通过推广计划与公众分享，如一年一度的圣路易斯地区“大脑蜜蜂”比赛，与圣路易斯科学中心合作的年度科学节庆，科学在水龙头上，妇女参与STEM日，不同机构的教师研究经验(RET)和青年学者(YS)计划，圣路易斯动物园的公开讲座和其他类似活动。该项目的关键目标是开发一种全面的神经工程方法，包括开发新的工程材料和技术来监控昆虫行为中的神经和运动反应，然后将这些能力复制到生物混合动力和移动机器人系统中，以确定关键部件/原理。这需要：(1)开发研究气味驱动的导航行为的新型试验台；(2)创新神经电极材料和阵列的设计；(3)开发低重量神经记录仪器(即背包)，以记录自由移动的较小动物的行为；(4)创造干扰行为和/或神经活动的工具；(5)与计算和机器人方法相结合，建立观察到的行为的最低限度模型。这项工作将产生一个工具包，其中包括用于神经记录的新型电极阵列、用于有效神经电极接口的水凝胶、神经形态硬件和算法、用于化学传感的自主微型机器人，以及最后用于非模型生物的基因工程工具。除了在各自学科中的影响外，这些工具可能允许使用昆虫的感官设备和处理能力来解决生物医学和国土安全中的并行传感问题。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。

Insects have relatively simple neural systems compared to humans and other mammals, and yet they possess a richness in behavioral responses and can operate under extreme energy constraints. The goal of this work is to examine how odor trails are followed by walking and flying insects and how those insights can be leveraged to develop novel biorobotic platforms. Studying insects, therefore, could inspire the development of the next generation of computational algorithms, hardware, and robots that have similar capabilities. To achieve this goal, a repertoire of tools will be developed and used to realize biorobots. In parallel, the biological algorithms for exploration and navigation will be translated into computational and hardware approaches inspired by the brain (i.e., neuromorphic algorithms and hardware). This interdisciplinary research allows for active integration of research and education to facilitate the creation of a new generation of students able to fluidly traverse science and engineering. Aspects of the research proposed will also be incorporated into the upper-level undergraduate and graduate classes taught by the team of researchers at their respective institutions. Components of this work will be shared with the general public through outreach programs such as the annual St. Louis Area “Brain Bee” competition, the annual SciFest in collaboration with the St. Louis Science Center, Science on the TAP, Women in STEM Day, Research Experience for Teachers (RET) and Young Scholar (YS) programs at various institutions, public lectures at St. Louis Zoo and other similar events.The key goal of this project is to develop a comprehensive neuroengineering approach involving the development of novel engineering materials and technologies to monitor neural and locomotory responses in behaving insects, and then replicating these capabilities in bio-hybrid and mobile robotic systems to identify the key components/principles. This entails: (i) developing novel testbeds for studying odor-driven navigational behaviors, (ii) innovation in the design of neural electrode materials and arrays, (iii) development of low-weight neural recording instrumentation (i.e., backpacks) to record in freely moving smaller animals, (iv) creation of tools for perturbing the behavior and/or neural activity, and (v) integration with computational and robotic approaches to develop a minimalistic model of observed behavior. This work will generate a toolkit that encompasses novel electrode arrays for neural recordings, hydrogels for effective neural-electrode interfaces, neuromorphic hardware and algorithms, autonomous miniaturized robots for chemical sensing, and finally genetically engineering tools for a non-model organism. Beyond impact in their respective disciplines, these tools may allow for the usage of insects’ sensory apparatus and processing capabilities for addressing parallel sensing problems in biomedicine and homeland security.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.