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相关概念视频

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Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
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Designing and Implementing Nervous System Simulations on LEGO Robots
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智能室内机器人的硬件方案,以防止使用现场可编程门阵列基于多机器人的后置崩框架.

Mudasar Basha1,2, Munuswamy Siva Kumar1, Mangali Chinna Chinnaiah2,3

  • 1Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Guntur 522502, Andhra Pradesh, India.

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|March 28, 2024
PubMed
概括
此摘要是机器生成的。

这项研究介绍了一种基于硬件的多机器人系统,用于防止室内环境中的背板崩. 它集成了传感器融合和自适应算法,以提高实时应用中的安全性和效率.

关键词:
支持 防止 碰撞 防止 碰撞行为控制行为控制.多机器人的多机器人融合传感器 融合传感器 融合传感器

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科学领域:

  • 机器人和自动化 机器人和自动化
  • 计算机工程 计算机工程

背景情况:

  • 智能室内机器人服务越来越多地用于实时应用.
  • 确保安全,特别是防止碰撞,对于在狭窄的室内空间中的多机器人系统至关重要.

研究的目的:

  • 为在静态和动态室内环境中提供多功能,基于硬件方案的框架,用于防止多机器人支持的碰撞.
  • 解决将多个控制算法集成到实时机器人的计算挑战.

主要方法:

  • 利用传感器融合来分析多机器人的状态和方向.
  • 实施了一种新的硬件框架,集成静态 (循环罗宾调度) 和动态 (先到先得调度) 支持崩预防.
  • 采用基于Xilinx的部分重新配置来管理多个算法和适应式巡航控制 (ACC) 来进行行为控制.
  • 在Zynq Field-Programmable Gate Array (FPGA) 上使用Verilog HDL开发和验证了该系统.

主要成果:

  • 成功演示了一种多机器人系统,能够在各种室内场景中防止背靠撞击.
  • 基于硬件的方法有效地集成复杂的调度算法 (RR,FCFS,ACC) 没有运行时计算问题.
  • 在基于FPGA的多机器人平台上验证了拟议框架的有效性和能力.

结论:

  • 拟议的硬件方案为智能室内环境中的多机器人支持防撞提供了强大而高效的解决方案.
  • 传感器融合,自适应算法和部分重新配置的整合是实现可靠的自主操作的关键.
  • 这一框架提高了室内机器人系统的安全性和操作能力.