Jove
Visualize
Contact Us

Related Concept Videos

Root-Locus Method01:19

Root-Locus Method

124
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
124
Equation of Motion: General Plane motion - Problem Solving01:16

Equation of Motion: General Plane motion - Problem Solving

170
Consider a lawn roller with a mass of 100 kg, a radius of 0.2 meters, and a radius of gyration of 0.15 meters. A force of 200 N is applied to this roller, angled at 60 degrees from the horizontal plane. What will be the angular acceleration of the lawn roller?
The friction between the roller and the ground is characterized by two coefficients. The static friction coefficient is 0.15, while the kinetic friction coefficient is 0.1. These values are crucial in understanding the interaction between...
170
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

386
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...
386
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
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

11.9K
When analyzing one-dimensional motion with constant acceleration, the problem-solving strategy involves identifying the known quantities and choosing the appropriate kinematic equations to solve for the unknowns. Either one or two kinematic equations are needed to solve for the unknowns, depending on the known and unknown quantities. Generally, the number of equations required is the same as the number of unknown quantities in the given example. Two-body pursuit problems always require two...
11.9K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

623
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
623

You might also read

Related Articles

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

Sort by
Same author

Autonomous biomedical research with an artificial intelligence agent.

Science (New York, N.Y.)·2026
Same author

Coherent Microwave Driving of Domain Wall Depinning in a Ferrimagnetic Garnet.

Nano letters·2026
Same author

Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states.

Cell systems·2026
Same author

Emissions of nitrogen oxide from household gaseous cooking.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Improved adaptation capacity offsets the precipitation-induced mountain hazard risks in Sichuan-Tibet region.

Journal of environmental management·2026
Same author

Multidimensional synergistic adaptation enhances the systemic resilience in China's food security.

National science review·2026
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 Experiment Video

Updated: Jun 3, 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

11.6K

A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning.

Ziba Arjmandzadeh1, Mohammad Hossein Abbasi2, Hanchen Wang1

  • 1School of Aerospace and Mechanical Engineering, The University of Oklahoma, Norman, OK 73019, USA.

Sensors (Basel, Switzerland)
|January 8, 2025
PubMed
Summary

Researchers developed a new Lyapunov Optimization (LO) method for autonomous vehicle (AV) path planning. This vision-only approach significantly reduces computation time by over 20x compared to traditional methods.

Keywords:
Lyapunov Optimizationautonomous vehiclesmodel predictive controlpath planning

More Related Videos

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Related Experiment Videos

Last Updated: Jun 3, 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

11.6K
Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.6K
Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

6.6K

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Control Systems

Background:

  • Autonomous vehicles (AVs) promise enhanced safety and efficiency.
  • Achieving full autonomy (SAE Level 5) hinges on effective path planning.
  • Current path planning methods face challenges in computational complexity and safety.

Purpose of the Study:

  • To introduce a novel Lyapunov Optimization (LO) approach for local path planning in AVs.
  • To evaluate the performance of the LO method against conventional techniques.
  • To assess the feasibility of a vision-only system for AV path planning.

Main Methods:

  • A novel Lyapunov Optimization (LO) model was developed for AV local path planning.
  • The LO model was benchmarked against Model Predictive Control and a sampling-based approach.
  • An AV prototype utilized a vision-only system for object detection and data collection in Norman, Oklahoma.

Main Results:

  • The proposed LO strategy achieved at least a 20-fold reduction in computation time compared to baseline methods.
  • Performance was evaluated based on path smoothness, safety, and computation time.
  • The vision-only approach proved effective for real-world applicability and cost reduction.

Conclusions:

  • Lyapunov Optimization presents a highly efficient solution for AV local path planning.
  • The vision-only implementation demonstrates practical viability for autonomous driving systems.
  • This research contributes to advancing the safety and computational efficiency of autonomous vehicles.