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Related Concept Videos

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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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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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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Two-Dimensional Force System: Problem Solving01:29

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In mechanical engineering, a three-dimensional force system is a system of forces acting in three dimensions, with forces applied along the x, y, and z coordinate axes. The three-dimensional force system is an important concept in mechanical engineering, as it allows engineers to understand and analyze the behavior of objects and structures in three dimensions. By understanding the forces acting on a system, engineers can design more efficient and effective mechanical systems that can withstand...
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Three-Dimensional Multi-Agent Foraging Strategy Based on Local Interaction.

Jonghoek Kim1

  • 1System Engineering Department, Sejong University, Seoul 05006, Republic of Korea.

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|October 14, 2023
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Summary
This summary is machine-generated.

This study presents a novel 3-D multi-agent foraging strategy for autonomous robots in unknown, cluttered environments. The system efficiently detects and collects resources without global localization, demonstrating superior performance in simulations.

Keywords:
3D cluttered unknown workspaceforaging based on local interactionmulti-agent foragingmulti-agent resource gatheringprovably complete search

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Multi-Agent Systems

Background:

  • Multi-agent systems are increasingly used for complex tasks like resource gathering.
  • Autonomous navigation in unknown 3-D environments with obstacles presents significant challenges.
  • Existing foraging strategies often rely on global localization, limiting their applicability.

Purpose of the Study:

  • To develop a novel 3-D multi-agent foraging strategy for autonomous agents in unknown, cluttered workspaces.
  • To enable efficient resource detection and collection without global localization.
  • To ensure provably complete puck detection within the workspace.

Main Methods:

  • A two-step foraging strategy: 1. Provably complete detection of all resources (pucks) in the 3-D workspace. 2. Path generation from the base to each puck for collection.
  • Utilizing local interaction for agent guidance and resource transport, eliminating the need for global localization.
  • Employing agent-to-agent guidance along paths to facilitate puck retrieval and delivery to the base.

Main Results:

  • The proposed strategy successfully enables multiple agents to perform foraging and puck carrying in a 3-D cluttered, unknown environment.
  • The search strategy is demonstrated to be provably complete in detecting all pucks.
  • MATLAB simulations confirm the outperformance of the proposed multi-agent foraging strategy.

Conclusions:

  • The developed local-interaction-based strategy offers a robust solution for 3-D multi-agent foraging in challenging environments.
  • The system's ability to operate without global localization enhances its practical applicability.
  • The provably complete detection mechanism ensures comprehensive resource gathering.