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相关概念视频

Behavior Modification01:21

Behavior Modification

130
Behavioral approaches have often been criticized for ignoring mental processes and focusing solely on observable behavior. However, these approaches provide an optimistic perspective for individuals seeking to change their behaviors. Rather than concentrating on intrinsic personality traits, behavioral approaches suggest that even longstanding habits can be modified by changing the reward contingencies that maintain them.
A real-world application of operant conditioning principles is applied...
130
PD Controller: Design01:26

PD Controller: Design

194
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
194
Controller Configurations01:22

Controller Configurations

87
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
87

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相关实验视频

Updated: Jun 9, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
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灵活制造中的自主机器人任务执行:在ARIAC 2023中集成PDDL和行为树

Ruikai Liu1,2,3,4, Guangxi Wan1,2,3, Maowei Jiang5

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.

Biomimetics (Basel, Switzerland)
|October 25, 2024
PubMed
概括

本研究介绍了在动态工业环境中自主机器人任务生成和执行的层次框架. 该系统有效地管理不可预测的场景,增强制造业中的机器人灵活性.

关键词:
在PDDL中,PDDL就是PDDL.经纪人 代理人 代理人敏捷性 灵活性 灵活性行为树 行为树机器人技术 机器人工程 机器人工程

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 工业自动化 工业自动化
  • 人工智能的人工智能

背景情况:

  • 工业自动化敏捷机器人竞赛 (ARIAC) 旨在提高机器人组装系统在动态环境中的敏捷性.
  • ARIAC 2023 提出了诸如故障部件,机器人故障和人类安全等挑战,强调了适应性策略的必要性.

研究的目的:

  • 在动态工业场景中为自主机器人任务生成和执行提供一个层次框架.
  • 通过新的框架来解决工业自动化挑战的不可预测性.

主要方法:

  • 开发了一个具有不同的任务和执行级别的层次结构框架.
  • 任务级使用即时任务管理来进行动态的任务分解和分配.
  • 执行级别将PDDL规划与行为树集成为基于代理的机器人控制.

主要成果:

  • 拟议的框架在管理不可预测的工业自动化挑战方面表现出有效性.
  • 在ARIAC 2023的验证证实了框架的实用性和提高机器人灵活性的能力.
  • 该系统成功地处理了各种场景,包括故障部件和机器人故障.

结论:

  • 层次框架为自主机器人任务生成和执行提供了强大的解决方案.
  • 这种方法通过增加机器人系统的适应性,大大提高了灵活的制造业.
  • 整合PDDL计划和行为树为智能机器人控制提供了一个有希望的方向.