Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

811
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...
811
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

1.3K
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...
1.3K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.0K
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...
1.0K
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

657
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...
657
One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

887
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...
887
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.4K
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...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Editorial: Innovations in industry 4.0: advancing mobility and manipulation in robotics.

Frontiers in robotics and AI·2026
Same author

Detection of the tunneling-rotation transitions of malonaldehyde in the submillimeter-wave region and proton tunneling dynamics.

The Journal of chemical physics·2025
Same author

Fourier transform microwave spectroscopy of the 13C- and 18O-substituted tropolone. Proton tunneling effect for the isotopic species with the asymmetric potential wells.

The Journal of chemical physics·2024
Same author

Dynamic and Real-Time Object Detection Based on Deep Learning for Home Service Robots.

Sensors (Basel, Switzerland)·2023
Same author

Online Multi-Contact Motion Replanning for Humanoid Robots with Semantic 3D Voxel Mapping: ExOctomap.

Sensors (Basel, Switzerland)·2023
Same author

Body Extension by Using Two Mobile Manipulators.

Cyborg and bionic systems (Washington, D.C.)·2023
Same journal

Implementation of Q learning and deep Q network for controlling a self balancing robot model.

Robotics and biomimetics·2019
Same journal

Cognition-based variable admittance control for active compliance in flexible manipulation of heavy objects with a power-assist robotic system.

Robotics and biomimetics·2018
Same journal

PID, BFO-optimized PID, and PD-FLC control of a two-wheeled machine with two-direction handling mechanism: a comparative study.

Robotics and biomimetics·2018
Same journal

Systematic engineering design helps creating new soft machines.

Robotics and biomimetics·2018
Same journal

Hybrid control combined with a voluntary biosignal to control a prosthetic hand.

Robotics and biomimetics·2018
Same journal

A multi-jointed underactuated robot hand with fluid-driven stretchable tubes.

Robotics and biomimetics·2018
See all related articles

Related Experiment Video

Updated: Mar 11, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

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

Published on: April 21, 2023

2.3K

Integrated assembly and motion planning using regrasp graphs.

Weiwei Wan1, Kensuke Harada2

  • 1Intelligent System Research Institute, Artificial Intelligence Research Center, National Institute of AIST, Tsukuba, Japan.

Robotics and Biomimetics
|November 25, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an integrated system for robotic assembly planning, optimizing both the sequence and motion for assembling objects. It ensures efficient pick-and-place operations using recursive search and graph-based methods.

Keywords:
Assembly planningGrasp and regraspMotion planning

More Related Videos

Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

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

Published on: August 8, 2019

6.1K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

515

Related Experiment Videos

Last Updated: Mar 11, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

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

Published on: April 21, 2023

2.3K
Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
09:11

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

Published on: August 8, 2019

6.1K
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

515

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Manufacturing Automation

Background:

  • Automated assembly requires sophisticated planning for both object sequencing and precise motion control.
  • Existing methods often address assembly and motion planning separately, leading to suboptimal solutions.
  • The use of a horizontal surface as a fixture is common in many assembly tasks.

Purpose of the Study:

  • To develop an integrated system for simultaneous assembly sequence and motion planning.
  • To enable robots to recursively find optimal assembly sequences and corresponding motions.
  • To utilize a horizontal surface as a supporting fixture for enhanced planning.

Main Methods:

  • The system operates at both assembly and motion planning levels.
  • Assembly level: Explores all assembly sequence combinations to identify candidate sequences.
  • Motion level: Employs recursive search and regrasp graph construction for pick-and-place motion planning.

Main Results:

  • The integrated system successfully plans assembly sequences and motions concurrently.
  • Demonstrated efficacy through both simulation and real-world experimental validation.
  • The system effectively manipulates objects and integrates them into the assembly using planned motions.

Conclusions:

  • The proposed integrated assembly and motion planning system offers a unified approach to complex robotic assembly tasks.
  • Recursive search and graph-based methods are effective for optimizing assembly sequences and motions.
  • The system's ability to plan integratedly enhances the efficiency and robustness of automated assembly.