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相关概念视频

Electrochemical Systems01:24

Electrochemical Systems

Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution, the Zn metal, composed...
Control Systems: Applications01:25

Control Systems: Applications

Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The direction...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Electro-mechanical Systems01:19

Electro-mechanical Systems

Electromechanical systems are intricate configurations that effectively combine electrical and mechanical elements to achieve a desired outcome. Central to many of these systems is the DC motor, a device that converts electrical energy into mechanical motion, enabling various applications ranging from simple fans to complex robotic mechanisms.
A key component of the DC motor is the armature, a rotating circuit positioned within a magnetic field. As an electric current passes through the...
Bioreactor Controls-II01:18

Bioreactor Controls-II

In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...

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纳米电子支持的储计算硬件用于实时机器人控制.

Mingze Chen1, Xiaoqiu An1, Seung Jun Ki1

  • 1Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.

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本研究介绍了一种用于机器人的新型纳米电子模拟控制系统,与传统数字方法相比,显著降低了功耗和复杂性. 这一创新使得微型机器人系统的超低功率边缘计算成为可能.

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 纳米电子学纳米电子学
  • 材料科学 材料科学 材料科学

背景情况:

  • 传统的机器人控制系统面临着由于数字化实施而导致高功耗和复杂性的挑战.
  • 复杂的机器人车辆和微型移动机器人的进步需要基于不同的设备物理学的新型控制系统.

研究的目的:

  • 为实时机器人控制提供纳米电子支持的模拟控制系统.
  • 显著降低机器人控制系统的培训成本,电力消耗和足迹.
  • 在微型机器人系统中实现超低功率边缘计算.

主要方法:

  • 从分层半导体中使用相互连接的内存通道开发了一个储计算网络.
  • 利用网络的非线性切换和短期内存将信号映射到高维数据空间.
  • 采用简单训练的读取层来生成电机控制信号,尽量减少软件和模拟到数字转换.

主要成果:

  • 实现了实时机器人控制,性能与传统控制器相提并论.
  • 显著减少了电力消耗,达到大约10微瓦.
  • 成功地将该系统应用于漫游者目标跟踪和无人机杆平衡任务.

结论:

  • 纳米电子支持的模拟控制系统为机器人应用提供了高能效的解决方案.
  • 这种方法最大限度地降低了硬件和软件的复杂性,为微型机器人广泛采用铺平了道路.
  • 开发的系统代表了在自主系统中实现实用的超低功率边缘计算的重要一步.