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

Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

272
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...
272
Instantaneous Center of Zero Velocity01:20

Instantaneous Center of Zero Velocity

425
General plane motion, often observed in a rolling wheel, refers to a type of movement where the wheel is simultaneously rotating and translating. This complex motion can be understood by breaking it down into individual components.
To analyze this, consider two points on the wheel: point A and point B. The absolute velocity of point B can be expressed as the vector sum of the absolute velocity of point A and the relative velocity of point B with respect to point A. To simplify this analysis,...
425
Kinematic Equations: Problem Solving01:15

Kinematic Equations: Problem Solving

11.8K
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...
11.8K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

601
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...
601
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

378
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...
378
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

513
Solving problems related to two-dimensional force systems is an essential aspect of mechanics and engineering. By applying the principles of vector analysis and force equilibrium, one can determine the effect of multiple forces acting on an object in a two-dimensional space.
The first step to solving a two-dimensional force system problem is to draw a free-body diagram of the object under consideration. This diagram helps identify all the external forces acting on the object, including their...
513

You might also read

Related Articles

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

Sort by
Same author

Excitation and Tuning of Fano-like Resonances in Whispering Gallery Microcavity and Microfiber Modal Interferometer Coupled System.

Sensors (Basel, Switzerland)·2026
Same author

Controlled assembly of two-dimensional porphyrin heterostructures toward directed energy transfer and charge separation.

Nature communications·2026
Same author

Extracting cropping patterns from remotely sensed images in a mixed single-, double-, and triple-cropping region of Southern China.

Environmental monitoring and assessment·2026
Same author

A Stability-oriented heavy-atom-free Nile red photosensitizer via heterocyclic thionation and D-A intensification for ferro-pyroptosis photodynamic immunotherapy.

Biomaterials·2026
Same author

Strontium-baicalein coated β-tricalcium phosphate scaffold enhances diabetic bone regeneration via synergistic ROS scavenging and osteogenic activation.

Regenerative biomaterials·2026
Same author

pH-activatable brominated pentamethine cyanine dyes for imaging-guided photodynamic immunotherapy of tumors.

Chemical science·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 17, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K

A Novel Integrated Path Planning and Mode Decision Algorithm for Wheel-Leg Vehicles in Unstructured Environment.

Kui Wang1, Xitao Wu1, Shaoyang Shi1

  • 1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces an integrated path planning and mode decision algorithm for wheel-leg vehicles, improving autonomous navigation in challenging terrains. The new method efficiently determines the best mode, reducing unnecessary transitions for enhanced exploration.

Keywords:
Markov decisionmode decisionreinforcement learningwheel–leg vehicles

More Related Videos

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT
08:04

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT

Published on: April 23, 2020

6.7K
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

12.6K

Related Experiment Videos

Last Updated: May 17, 2025

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

4.9K
Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT
08:04

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking FLLIT

Published on: April 23, 2020

6.7K
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

12.6K

Area of Science:

  • Robotics and Autonomous Systems
  • Environmental Exploration Technology
  • Advanced Navigation

Background:

  • Autonomous vehicles are crucial for dangerous, unstructured environments like hills and depressions.
  • Traditional wheeled vehicles struggle with terrain passability, limiting their use.
  • Wheel-leg vehicles offer superior mobility but require advanced automation for mode selection.

Purpose of the Study:

  • To develop an integrated path planning and mode decision algorithm (IPP-MD) for wheel-leg vehicles.
  • To enable dynamic and optimal mode selection for enhanced autonomous navigation.
  • To overcome limitations of existing algorithms not designed for multimodal vehicle capabilities.

Main Methods:

  • Mode decision problem modeled using a Markov Decision Process (MDP).
  • Innovative design of state space, action space, and reward function for dynamic mode determination.
  • Integration of path planning with mode decision for comprehensive control.

Main Results:

  • The proposed IPP-MD algorithm effectively determines the most suitable mode of progression.
  • Simulation results show fewer mode-switching occurrences compared to existing methods.
  • Demonstrates enhanced exploitation of wheel-leg vehicle multimodal advantages.

Conclusions:

  • The IPP-MD algorithm significantly improves autonomous navigation for wheel-leg vehicles in unstructured terrains.
  • Dynamic mode selection enhances exploration efficiency and vehicle adaptability.
  • This approach unlocks the full potential of wheel-leg vehicles for complex missions.