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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

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

Two-Dimensional Force System: Problem Solving

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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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One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

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

Three-Dimensional Force System:Problem Solving

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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...
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Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

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Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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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...
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Related Experiment Video

Updated: Jun 25, 2025

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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Decentralized Navigation with Optimality for Multiple Holonomic Agents in Simply Connected Workspaces.

Dimitrios Kotsinis1,2, Charalampos P Bechlioulis1,2

  • 1Division of Systems and Automatic Control, Department of Electrical and Computer Engineering, University of Patras, Rio, 26504 Patras, Greece.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
Summary

This study presents a decentralized approach for multi-agent navigation, offering a sub-optimal yet efficient solution for complex tasks. The method ensures collision-free paths without inter-agent communication, outperforming centralized methods in scalability.

Keywords:
decentralized navigationmotion planningmulti-agent Poli-RRT*multi-agent systemsnavigation functionoptimal motion planning

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Distributed Systems

Background:

  • Multi-agent systems (MAS) offer enhanced efficiency over single-agent systems in research and industry.
  • The multi-agent navigation problem requires agents to reach destinations via optimal, collision-free paths.

Purpose of the Study:

  • To present an optimal approach to multi-agent navigation in simply connected workspaces.
  • To develop a decentralized control protocol for collision-free navigation without requiring agents to know others' goals.

Main Methods:

  • A decentralized control protocol using a navigation function and controller for each agent.
  • A novel off-policy iterative method to calculate predetermined optimal policies, addressing computational complexity.
  • Analysis of sub-optimal trajectory deviation and task completion time with increasing agent numbers.

Main Results:

  • The decentralized approach provides a sub-optimal solution that is computationally feasible for a large number of agents.
  • The method effectively resolves safety conflicts with workspace boundaries and other agents.
  • Comparison with Multi-Agent Poli-RRT* demonstrates the validity of the proposed approach.

Conclusions:

  • The presented decentralized navigation method is a scalable and effective solution for multi-agent systems.
  • The off-policy iterative approach offers a practical alternative to computationally intensive learning-based methods for optimal policy calculation.
  • The study validates the approach by comparing its performance against a discrete centralized policy method.