Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Hierarchy of Motor Control

Hierarchy of Motor Control

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.

Three-Dimensional Force System:Problem Solving

Three-Dimensional Force System:Problem Solving

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...

One-Degree-of-Freedom System

One-Degree-of-Freedom System

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...

Controller Configurations

Controller Configurations

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...

PD Controller: Design

PD Controller: Design

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,...

Three-Dimensional Force System

Three-Dimensional Force System

In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Immunophenotyping of pulmonary sarcomatoid carcinoma.

Frontiers in immunology·2022

Same author

Interfacial configuration of heterogeneous NiFe-sulfide as a highly electrocatalytic selective oxygen evolution reaction electrode toward seawater electrolysis.

RSC advances·2022

Same author

[Repairing large skin defect of hand with modified dorsal metacarpal artery reverse island flap].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2022

Same author

The effects of riverside cities on microplastics in river water: A case study on the Southern Jiangsu Canal, China.

The Science of the total environment·2022

Same author

Adipose-Derived Stem Cell Exosomes Inhibit Hypertrophic Scaring Formation by Regulating Th17/Treg Cell Balance.

BioMed research international·2022

Same author

Activation of Nrf2 modulates protective immunity against Mycobacterium tuberculosis infection in THP1-derived macrophages.

Free radical biology & medicine·2022

Search research articles

Related Experiment Video

Updated: Jul 1, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Deep learning-based control framework for dynamic contact processes in humanoid grasping.

Shaowen Cheng^1,2,3,4, Yongbin Jin^1,2,3,4, Hongtao Wang^1,2,3,4

¹Center for X-Mechanics, Zhejiang University, Hangzhou, China.

Frontiers in Neurorobotics

|March 14, 2024

Summary

This summary is machine-generated.

This study introduces a deep learning framework for humanoid grasping, enabling robots to grasp diverse objects, including thin items like cards. The method improves grasping performance and expands object handling capabilities beyond previous approaches.

Keywords:

anthropomorphic hand deep learning dynamic process humanoid grasping and manipulation sim to real underactuated

More Related Videos

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Related Experiment Videos

Last Updated: Jul 1, 2025

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace

Published on: August 8, 2019

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

Published on: January 15, 2018

Area of Science:

Robotics
Artificial Intelligence

Background:

Humanoid grasping is essential for robot development.
Existing methods struggle with dynamic contact and object variety.

Purpose of the Study:

To present a deep learning-based control framework for humanoid grasping.
To enhance grasping capabilities for a wider range of objects and dynamic environments.

Main Methods:

Developed a deep learning control framework for dynamic contact in humanoid grasping.
Utilized an underactuated anthropomorphic hand designed from human hand data.
Employed hand gestures to reduce control dimensionality and a deep learning model for gesture/grasp selection.

Main Results:

The framework successfully eliminated constraints from inaccessible grasping points.
Demonstrated superior performance compared to static analysis-based methods using the Q1 grasp metric.
Enabled effective grasping of thin objects, such as cards, previously unachievable.

Conclusions:

The deep learning framework significantly advances humanoid grasping capabilities.
The methodology offers a more versatile and effective approach to robotic manipulation.
This work expands the potential applications of humanoid robots in complex environments.