Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

1.0K
In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
1.0K
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

5.6K
The hierarchy of motor control refers to the different levels of organization and processing involved in controlling movement in the body. These levels range from higher cortical areas involved in planning and decision-making to lower spinal cord reflexes that respond automatically to external stimuli.
5.6K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

751
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
751
Feedback control systems01:26

Feedback control systems

800
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
800
Controller Configurations01:22

Controller Configurations

484
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...
484
PD Controller: Design01:26

PD Controller: Design

761
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,...
761

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Intent-driven LLM ensemble planning for flexible multi-robot manipulation.

Frontiers in robotics and AI·2026
Same author

End-to-end example-based sim-to-real RL policy transfer based on neural stylisation with application to robotic cutting.

Scientific reports·2026
Same author

A framework for semantics-based situational awareness during mobile robot deployments.

Frontiers in robotics and AI·2025
Same author

Advanced robotics for automated EV battery testing using electrochemical impedance spectroscopy.

Frontiers in robotics and AI·2025
Same author

A wireless buckle transducer for measurement of human forearm tendon tension: operational principles and finite element study.

Frontiers in bioengineering and biotechnology·2024
Same author

Editorial: Variable autonomy for human-robot teaming.

Frontiers in robotics and AI·2024
Same journal

Passive wheels on legged robots: a survey.

Frontiers in robotics and AI·2026
Same journal

Politeness cannot make up for robots' errors.

Frontiers in robotics and AI·2026
Same journal

Workers expect basic social skills but limited autonomy from future robots - a qualitative interview study and taxonomy for robot social skills.

Frontiers in robotics and AI·2026
Same journal

Human-robot interaction in sustainable hospitality: how robot type shapes customer emotions, green perceptions, and service loyalty.

Frontiers in robotics and AI·2026
Same journal

Dynamic variance-aware federated tuning for efficient autonomous vehicle perception under non-IID settings.

Frontiers in robotics and AI·2026
Same journal

Editorial: Synergizing large language models and computational intelligence for advanced robotic systems.

Frontiers in robotics and AI·2026
查看所有相关文章

相关实验视频

Updated: May 2, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.6K

一个关于可变自主性的移动操纵器的小评论.

Cesar Alan Contreras1, Alireza Rastegarpanah1,2, Manolis Chiou3

  • 1School of Metallurgy and Materials, The University of Birmingham, Birmingham, United Kingdom.

Frontiers in robotics and AI
|March 3, 2025
PubMed
概括
此摘要是机器生成的。

具有可变自主性的移动操纵器对于搜救等危险任务至关重要. 未来的研究应该集中在通过先进的人机器人组合和人工智能集成来减少操作者的认知负载.

关键词:
人与机器人的交互人与机器人的合作.移动操纵器移动操纵器分享控制,共享控制.不确定的环境 不确定的环境可变的自主权自主权.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.1K

相关实验视频

Last Updated: May 2, 2026

Investigating Motor Skill Learning Processes with a Robotic Manipulandum
07:52

Investigating Motor Skill Learning Processes with a Robotic Manipulandum

Published on: February 12, 2017

8.6K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.5K
Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound
07:41

Design and Implementation of a Bespoke Robotic Manipulator for Extra-corporeal Ultrasound

Published on: January 7, 2019

9.1K

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
  • 人与机器人的交互

背景情况:

  • 移动操纵器在危险环境中越来越需要.
  • 目前的系统通常需要人机组合,这是由于操作不确定性的原因.
  • 可变的自主性是安全可靠运营的关键.

研究的目的:

  • 对具有可变自主性的移动操纵器研究的现状进行审查.
  • 识别变量自主研究中的挑战和差距.
  • 建议未来的研究方向,以加强人机协作.

主要方法:

  • 关于移动操纵器和可变自主性的现有文献的小型综述.
  • 分析危险环境中的挑战 (例如,退役,搜救).
  • 识别关键问题,如认知工作量和沟通延迟.

主要成果:

  • 移动操纵器在不确定的和危险的环境中,可变自主性是必不可少的.
  • 重要挑战包括管理操作员认知工作量和通信延迟.
  • 在全身可变自主和集成的人机控制框架中存在差距.

结论:

  • 未来的研究应该探索移动操纵器的全身可变自主性.
  • 虚拟现实和大型语言模型可以减少操作员的复杂性和认知负载.
  • 人机组合的进步对于在具有挑战性的场景中有效部署至关重要.