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Related Concept Videos

Three-Dimensional Force System:Problem Solving01:30

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

Relative Motion Analysis using Rotating Axes-Problem Solving

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...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
Two-Dimensional Force System: Problem Solving01:29

Two-Dimensional Force System: Problem Solving

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...

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Related Experiment Video

Updated: Jul 8, 2026

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents
04:41

Utilizing a Reconfigurable Maze System to Enhance the Reproducibility of Spatial Navigation Tests in Rodents

Published on: December 2, 2022

Robot navigation in cluttered 3-D environments using preference-based fuzzy behaviors.

Dongqing Shi1, Emmanuel G Collins, Damion Dunlap

  • 1Florida A&M University-Florida State University, Tallahassee, FL 32310, USA. shido@eng.fsu.edu

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|January 9, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fuzzy behavioral scheme for autonomous 3-D navigation in unmanned helicopters. The system effectively guides aircraft through complex environments using a unique 3-D solution region and defuzzification algorithm.

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

Area of Science:

  • Robotics
  • Artificial Intelligence
  • Control Systems

Background:

  • Autonomous navigation systems are well-established for ground-based robots but limited for 3-D applications.
  • Unmanned aerial and underwater vehicles require robust 3-D navigation capabilities.
  • Existing planar navigation methods are not directly transferable to 3-D space.

Purpose of the Study:

  • To develop a novel fuzzy behavioral scheme for autonomous 3-D navigation of unmanned helicopters.
  • To address the challenges of 3-D motion planning in cluttered environments.
  • To create a system capable of effective and safe navigation in unknown terrains.

Main Methods:

  • Decomposing the 3-D navigation problem into multiple 2-D subproblems.
  • Utilizing preference-based fuzzy behaviors to solve each 2-D subproblem.
  • Developing a novel method to fuse intermediate preferences into a 3-D solution region, avoiding vector summation issues.
  • Implementing a new defuzzification algorithm to determine robot steering by finding the centroid of a maximum volume 3-D convex region.
  • Integrating a fuzzy speed-control system for enhanced safety and efficiency.

Main Results:

  • The proposed fuzzy behavioral scheme enables smooth and effective navigation for unmanned helicopters.
  • Simulations demonstrate successful guidance through cluttered urban and forest environments.
  • The novel fusion and defuzzification methods provide a robust approach to 3-D path planning.
  • The integrated speed-control system ensures safe and efficient operation.

Conclusions:

  • The developed fuzzy behavioral scheme offers a viable solution for autonomous 3-D navigation in unmanned helicopters.
  • The system's ability to handle cluttered environments highlights its practical applicability.
  • This approach advances the field of autonomous navigation for aerial vehicles.