Jove
Visualize
联系我们

相关概念视频

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

870
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
870
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

690
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...
690
Muscle Coordination and Action01:24

Muscle Coordination and Action

3.0K
Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement....
3.0K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

522
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...
522
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

679
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
679
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

963
Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
963

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

Social Robot Navigation Tasks: Combining Machine Learning Techniques and Social Force Model.

Sensors (Basel, Switzerland)·2021
Same journal

TICK: A Knowledge Processing Infrastructure for Cognitive Trust in Human-Robot Interaction.

International journal of social robotics·2025
Same journal

Sonic Sleight of Hand: Sound Induces Illusory Distortions in the Perception and Prediction of Robot Action.

International journal of social robotics·2025
Same journal

Coping with Emotional Distress via Self-Disclosure to Robots: An Intervention with Caregivers.

International journal of social robotics·2025
Same journal

The Social Triad Model: Considering the Deployer in a Novel Approach to Trust in Human-Robot Interaction.

International journal of social robotics·2025
Same journal

Robot-Mediated Nudges for Workplace Health: Not a One-Size-Fits-All Modeling Problem.

International journal of social robotics·2024
Same journal

Social Assistive Robotics: An Ethical and Political Inquiry Through the Lens of Freedom.

International journal of social robotics·2024
查看所有相关文章
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

相关实验视频

Updated: Jan 12, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K

通过上下文人类运动预测和意图推断来增强机器人的协作任务.

Javier Laplaza1, Francesc Moreno1, Alberto Sanfeliu1

  • 1Institut de Robòtica i Informàtica Industrial de Barcelona, Universitat Politècnica de Catalunya, C/ Llorens i Artigas 4-6, 08024 Barcelona, Catalonia Spain.

International journal of social robotics
|October 31, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种深度学习模型,用于预测人机协作中的3D人类运动和意图. 该模型通过考虑人类在机器人附近的行为来增强机器人导航和任务成功.

关键词:
深度学习注意力架构的深度学习人类的意图预测预测.人类运动预测预测人与机器人之间的协作任务.

更多相关视频

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

1.4K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.5K

相关实验视频

Last Updated: Jan 12, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K
Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
04:49

Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes

Published on: September 6, 2024

1.4K
Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
13:44

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy

Published on: August 8, 2011

14.5K

科学领域:

  • 机器人和计算机视觉 机器人和计算机视觉
  • 人工智能的人工智能
  • 人与机器人的交互

背景情况:

  • 目前的3D人类运动预测模型使用的数据集并不反映人类在机器人附近的运动.
  • 这种数据分布差距限制了机器人在现实世界协作任务中的有效性.
  • 结合任务上下文和人类合作意愿,可以提高预测准确性和机器人导航.

研究的目的:

  • 提出一种深度学习架构,用于预测3D人体运动和人类在协作任务中的意图.
  • 提高机器人的导航能力,并在协作场景中取得成功.
  • 开发一个灵活的模型,适应各种任务,具有不同的输入要求.

主要方法:

  • 开发了一个使用多头注意力机制的深度学习架构.
  • 该模型将人体运动和任务上下文作为输入,以预测人体运动并推断人类的意图.
  • 该架构在协作对象交付和葡萄收获任务上得到了验证,具有特定任务的输入变化.

主要成果:

  • 拟议的架构成功地预测了3D人类运动,并推断了人类对协作任务的意图.
  • 用户对交付任务的研究表明,在使用预测时,人类对机器人的社交性,自然性,安全性和舒适性的感知得到了改善.
  • 该模型在协作葡萄收获任务中表现出有希望的结果,展示了其在现实世界应用中的潜力.

结论:

  • 开发的深度学习架构有效地整合了人类运动预测和意图推断,以加强人机协作.
  • 该模型在处理各种输入方面的灵活性使其适应各种现实世界的协作任务.
  • 这项研究有助于在共享环境中实现更直观,安全和高效的人机交互.