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

Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

245
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...
245
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

428
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...
428
Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

482
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...
482

You might also read

Related Articles

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

Sort by
Same author

Thermodynamic prediction of RNA cellular activity from sequence via conformational ensembles.

Cell·2026
Same author

Rapid Spur Gear Profile Inspection Using Chromatic Confocal Sensors.

Sensors (Basel, Switzerland)·2026
Same author

Revealing hidden protonated conformational states in RNA dynamic ensembles.

Nucleic acids research·2025
Same author

Kinetic Dissection of Proton-Coupled Conformational Transitions in Nucleic Acids by Integrating pH-Dependent NMR and Chemical Modifications.

Journal of the American Chemical Society·2025
Same author

Insight into the Conformational Ensembles Formed by U-U and T-T Mismatches in RNA and DNA Duplexes From a Structure-based Survey, NMR, and Molecular Dynamics Simulations.

Journal of molecular biology·2025
Same author

Conformational penalties: New insights into nucleic acid recognition.

Current opinion in structural biology·2024

Related Experiment Video

Updated: Aug 2, 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

11.7K

Path Planning and Motion Control of Indoor Mobile Robot under Exploration-Based SLAM (e-SLAM).

Rohit Roy1, You-Peng Tu1, Long-Jye Sheu2

  • 1Department of Mechanical Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.

Sensors (Basel, Switzerland)
|April 13, 2023
PubMed
Summary

This study introduces a novel indoor mobile robot (IMR) motion control system using only LiDAR for enhanced simultaneous localization and mapping (e-SLAM). The robot plans paths and avoids obstacles effectively using LiDAR data alone.

Keywords:
LiDAR localizationmobile robotmotion planningvehicle control

More Related Videos

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.7K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.7K

Related Experiment Videos

Last Updated: Aug 2, 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

11.7K
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
09:00

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

14.7K
MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions
09:46

MPI CyberMotion Simulator: Implementation of a Novel Motion Simulator to Investigate Multisensory Path Integration in Three Dimensions

Published on: May 10, 2012

12.7K

Area of Science:

  • Robotics
  • Computer Vision
  • Artificial Intelligence

Background:

  • Simultaneous Localization and Mapping (SLAM) is crucial for autonomous navigation.
  • Limited sensor suites, particularly relying solely on LiDAR, present significant challenges in SLAM.
  • Efficient motion control and path planning are essential for indoor mobile robots (IMRs).

Purpose of the Study:

  • To propose and evaluate an indoor mobile robot (IMR) motion control system for e-SLAM using only LiDAR data.
  • To develop a path planning and obstacle avoidance strategy based exclusively on LiDAR sensor input.
  • To integrate software components for a step-by-step implementation of LiDAR-based motion control.

Main Methods:

  • Path planning initiated from floor plan vertices, progressing to velocity planning for linear and cornering motion.
  • Utilizing upper LiDAR rings for localization and lower rings for obstacle detection.
  • Comparing planned paths with real-time LiDAR data for adaptive navigation and control.

Main Results:

  • Successful implementation of path planning and motion control using solely LiDAR data.
  • Demonstrated ability of the IMR to recognize its location and environment through LiDAR.
  • Identified challenges in distance precision and IMR deviation, addressed through LiDAR settings and speed regulation.

Conclusions:

  • The proposed method effectively integrates path planning and motion control for IMRs using only LiDAR.
  • The study contributes a step-by-step procedure for implementing such a system, enhancing control strategies.
  • Experimentation with proportional control gains improved the robot's position, orientation, and velocity control.