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相关概念视频

Active Filters01:25

Active Filters

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Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
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Convergent Evolution01:54

Convergent Evolution

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Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
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Region of Convergence01:17

Region of Convergence

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The z-transform is a powerful mathematical tool used in the analysis of discrete-time signals and systems. It is a crucial tool in the analysis of discrete-time systems, but its convergence is limited to specific values of the complex variable z. This range of values, known as the Region of Convergence (ROC), is fundamental in determining the behavior and stability of a system or signal. The ROC defines the region in the complex plane where the z-transform converges, which can take various...
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Passive Filters01:27

Passive Filters

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Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
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RNA Stability01:53

RNA Stability

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Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
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Nuclear Stability03:18

Nuclear Stability

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Protons and neutrons, collectively called nucleons, are packed together tightly in a nucleus. With a radius of about 10−15 meters, a nucleus is quite small compared to the radius of the entire atom, which is about 10−10 meters. Nuclei are extremely dense compared to bulk matter, averaging 1.8 × 1014 grams per cubic centimeter. If the earth’s density were equal to the average nuclear density, the earth’s radius would be only about 200 meters.
To hold positively charged protons together...
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相关实验视频

Updated: Jan 28, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

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使用自适应光滑波器稳定基于像素的深度主动推理控制器的融合.

Kazuma Nagatsuka1, Kyo Kutsuzawa1, Dai Owaki1

  • 1Department of Robotics, Graduate School of Engineering, Tohoku University, Sendai 9808579, Miyagi, Japan.

Biomimetics (Basel, Switzerland)
|January 27, 2026
PubMed
概括

本研究引入了机器人中的主动推理控制器的光滑过器,以防止局部最小值. 这种方法通过平滑自由能源功能来提高机器人控制任务的融合性能.

科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 计算神经科学是一种神经科学.

背景情况:

  • 积极推断越来越多地用于机器人控制,因为它具有环境适应性.
  • 传统的主动推理控制器使用梯度下降风险趋同到次优解决方案 (局部最小值).

研究的目的:

  • 提出一种新的方法,使用光滑波器来减轻基于像素的主动推理控制器中的局部最小值.
  • 提高机器人控制中的主动推理的融合性能和稳定性.

主要方法:

  • 在主动推理框架内,对观察到的,预测到的和目标值应用了光滑波器.
  • 根据预测和目标错误,光滑强度进行了动态调整,以平衡光滑和梯度信息.
  • 该方法在模拟中使用对象跟踪和机器人手臂控制任务进行了评估.

主要成果:

  • 与传统的主动推断控制器相比,提出的光滑波器方法显示了更好的融合性能.
  • 调整光滑强度的动态调整防止了基本梯度信息的丢失.

结论:

  • 平滑基于像素的主动推理控制器有效降低了局部最小值的风险.
  • 提出的方法为使用主动推理的机器人控制应用提供了更可靠和更有效的方法.
关键词:
积极的推理推理.自由能源原则是自由能源的原则.机器学习是机器学习.机器人技术 机器人工程 机器人工程

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