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Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance01:14

Frustration and Conflict: Avoidance-Avoidance, Double-Approach Avoidance

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Avoidance-avoidance conflict refers to a psychological situation where a person must choose between two or more unpleasant alternatives. These conflicts are particularly stressful because neither option is desirable. This dilemma is often expressed in sayings like "caught between a rock and a hard place" or "between the devil and the deep blue sea." For instance, individuals who fear dental procedures may find themselves torn between enduring a painful toothache or facing the...
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Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

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Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
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Types Of Collisions - I01:04

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When two objects come in direct contact with each other, it is called a collision. During a collision, two or more objects exert forces on each other in a relatively short amount of time. A collision can be categorized as either an elastic or inelastic collision. If two or more objects approach each other, collide and then bounce off, moving away from each other with the same relative speed at which they approached each other, the total kinetic energy of the system is said to be conserved. This...
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Types of Collisions - II01:19

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When two or more objects collide with each other, they can stick together to form one single composite object (after collision). The total mass of the object after the collision is the sum of the masses of the original objects, and it moves with a velocity dictated by the conservation of momentum. Although the system's total momentum remains constant, the kinetic energy decreases, and thus such a collision is an inelastic collision. Most of the collisions between objects in daily life are...
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The ideal-gas equation, which is empirical, describes the behavior of gases by establishing relationships between their macroscopic properties. For example, Charles’ law states that volume and temperature are directly related. Gases, therefore, expand when heated at constant pressure. Although gas laws explain how the macroscopic properties change relative to one another, it does not explain the rationale behind it.
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Elastic Collisions: Introduction01:00

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An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
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A Distributed Approach for Collision Avoidance between Multirotor UAVs Following Planned Missions.

Francisco Fabra1, Willian Zamora2, Julio Sangüesa3

  • 1Department of Computer Engineering, Universitat Politècnica de València, 46022 Valencia, Spain. frafabco@cam.upv.es.

Sensors (Basel, Switzerland)
|May 28, 2019
PubMed
Summary

This study introduces the Mission Based Collision Avoidance Protocol (MBCAP) to prevent mid-air collisions between autonomous Unmanned Aerial Vehicles (UAVs). The novel protocol ensures safer drone operations with minimal time overhead.

Keywords:
ArduSimcollision avoidancesense and avoidunmanned aerial vehicle

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Area of Science:

  • Robotics
  • Aerospace Engineering
  • Computer Science

Background:

  • Increasing applications of Unmanned Aerial Vehicles (UAVs) lead to higher risks of mid-air collisions.
  • Autonomous flight operations necessitate robust safety protocols to prevent accidents.

Purpose of the Study:

  • To propose a novel collision avoidance protocol for autonomous multicopter UAVs.
  • To ensure safe navigation and prevent collisions in increasingly crowded airspace.

Main Methods:

  • Development of the Mission Based Collision Avoidance Protocol (MBCAP).
  • Utilizing wireless communication for UAV detection and collision negotiation.
  • Testing the protocol through simulations and real-world experiments.

Main Results:

  • The MBCAP effectively detects nearby UAVs and negotiates collision avoidance procedures.
  • The protocol demonstrated validity and effectiveness in experimental and simulation settings.
  • A small time overhead of 15 to 42 seconds was observed per handled risky situation.

Conclusions:

  • The proposed MBCAP is a viable solution for enhancing UAV safety.
  • The protocol is applicable to all types of autonomous multicopters.
  • MBCAP contributes to safer autonomous drone operations by mitigating collision risks.