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

460
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...
460
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

384
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
384
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

622
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
622
Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

369
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
369
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

293
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
293
Hierarchy of Motor Control01:18

Hierarchy of Motor Control

2.4K
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.
2.4K

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

Exploring the Role of Parietal Transcranial Magnetic Stimulation on Embodiment-Related Processes During Virtual Prosthesis Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025
Same author

Deep Learning-Based Ground Reaction Force Estimation for Real-Time Clinical Applications.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Individual Robot-Aided Rehabilitation: From Assist-As-Needed Toward Challenge-As-Needed.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Automated Muscle Path Calibration With Gradient-Specified Optimization Based on Moment Arm.

IEEE transactions on bio-medical engineering·2025
Same author

Safety and efficacy of add-on robotic therapy for early mobilization in intermediate neurocritical care: a pilot study.

Journal of neuroengineering and rehabilitation·2025
Same author

Accelerating discovery in natural science laboratories with AI and robotics: Perspectives and challenges.

Science robotics·2025
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: Jun 1, 2025

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

告知循环场:用于机器人操纵器的全球反应式障碍回避框架.

Marvin Becker1, Philipp Caspers1, Torsten Lilge1

  • 1Institute of Automatic Control, Leibniz University Hannover, Hannover, Germany.

Frontiers in robotics and AI
|January 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个全新的全球反应性运动规划框架,用于动态环境中的机器人. 它通过将全球轨迹规划与本地反应性控制相结合,提高了避开障碍的性能,优于现有的方法.

关键词:
自主机器人系统自主机器人系统导航指南导航和控制导航和控制运动规划 运动规划实时避免碰撞,避免碰撞.机器人操纵手臂是一种机器人操纵手臂.

更多相关视频

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
An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.2K

相关实验视频

Last Updated: Jun 1, 2025

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
An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
09:27

An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

Published on: August 25, 2020

4.2K

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
  • 控制系统 控制系统

背景情况:

  • 机器人操纵器需要先进的运动计划,以便在复杂,动态的环境中安全导航.
  • 现有的方法经常在实时适应和全面避开障碍方面扎.
  • 整合全球和地方规划策略对于稳健的业绩至关重要.

研究的目的:

  • 开发一个统一的框架,用于机器人操纵器的全球反应性运动规划.
  • 通过将全球轨迹见解与本地反应控制相结合,增强避障能力.
  • 提高机器人适应性和安全性,在不可预测,人类居住的工作空间工作.

主要方法:

  • 使用无局部最小值的圆形场来生成反应式控制命令.
  • 利用来自配置空间运动规划器的全球环境信息来指导轨迹.
  • 扩展虚拟代理框架以模拟多个机器人轨迹,以增强避免.
  • 整合视觉反用于现实世界的机器人控制和适应.

主要成果:

  • 拟议的框架在超过4000个模拟场景中始终优于现有的运动计划器.
  • 在现实世界实验中与Franka Emika机器人进行了有效和快速的适应,以应对不可预测的人类运动.
  • 实现了整个机器人操纵器身体的全面避障.

结论:

  • 开发的全球反应性运动规划框架为动态环境提供了强大的多功能解决方案.
  • 统一的方法有效地将全球规划与本地反应控制相结合,以获得卓越的性能.
  • 通过广泛的模拟和现实世界机器人实验验证实有效性.