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Related Concept Videos

Collisions in Multiple Dimensions: Problem Solving01:06

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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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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...
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Collisions in Multiple Dimensions: Introduction01:05

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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Three-Dimensional Force System:Problem Solving01:30

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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.
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Elastic Collisions: Case Study01:15

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Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

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Operation of the Collaborative Composite Manufacturing CCM System
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Path planning and collision avoidance methods for distributed multi-robot systems in complex dynamic environments.

Zhen Yang1, Junli Li1, Liwei Yang1

  • 1School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650093, China.

Mathematical Biosciences and Engineering : MBE
|January 18, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new distributed method for multi-robot navigation and obstacle avoidance in unknown environments. The approach enhances path planning and collision avoidance, proving effective in complex dynamic settings.

Keywords:
A* algorithmdistributed multi-mobile robotsdynamic window approachpath planningprioritization method

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Autonomous Systems

Background:

  • Multi-robot systems are increasingly used in critical applications like rescue and transportation.
  • Path planning and obstacle avoidance in dynamic, unknown environments pose significant challenges for these systems.

Purpose of the Study:

  • To develop a distributed navigation and obstacle avoidance method for multi-mobile robots in unknown environments.
  • To improve the efficiency, accuracy, and safety of multi-robot motion planning.

Main Methods:

  • A bidirectional alternating jump point search A* algorithm (BAJPSA*) for global path planning.
  • A dynamic window approach (DWA)-based kinematic model and adaptive navigation strategy with an improved path tracking evaluation function.
  • Modified single-robot decision and obstacle avoidance rules, coupled with a prioritization method for local path planning and collision conflict resolution.

Main Results:

  • The proposed BAJPSA* algorithm enhances global path planning efficiency.
  • The adaptive navigation strategy and improved path tracking function increase path tracking accuracy and optimality.
  • Modified avoidance rules and prioritization effectively resolve multi-robot collision conflicts in dynamic environments.

Conclusions:

  • The developed distributed method offers superior navigation and obstacle avoidance strategies for multi-robot systems in complex, dynamic environments.
  • This research provides a valuable technical reference for practical multi-robot applications.