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Robbers Cave

Robbers Cave

During the 1950s, the landmark Robbers Cave experiment demonstrated that when groups must compete with one another, intergroup conflict, hostility, and even violence may result. At the Oklahoman summer camp, two troops of boys—termed the Rattlers and the Eagles—took part in a week-long tournament. During this time, their negativity culminated in derogatory name-calling, fistfights, and even vandalism and destruction of property. However, this work also revealed that such tension...

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Related Experiment Video

Updated: Jul 4, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Overcoming adversaries in multirobot navigation.

¹Science Robotics, AAAS, Washington, DC 20005, USA.

Science Robotics

|January 31, 2024

Summary

This summary is machine-generated.

This study introduces a novel path-planning algorithm for robot teams. It ensures safe navigation through cluttered environments, even when facing adversaries.

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Area of Science:

Robotics
Artificial Intelligence
Control Systems

Background:

Robot teams require sophisticated navigation strategies for complex environments.
Operating in cluttered spaces with adversarial threats presents significant challenges for autonomous systems.

Purpose of the Study:

To develop and evaluate a path-planning algorithm enabling safe robot team navigation.
To address the challenges posed by cluttered environments and the presence of adversaries.

Main Methods:

The study proposes a novel path-planning algorithm.
The algorithm is designed for coordinated navigation of multiple robots.
Simulations were used to test the algorithm's performance in various scenarios.

Main Results:

The algorithm successfully facilitated safe navigation for robot teams.
Effective operation was demonstrated in cluttered environments.
The system showed resilience against simulated adversarial presence.

Conclusions:

The developed path-planning algorithm is effective for safe robot team navigation.
This approach enhances the robustness of autonomous systems in challenging operational conditions.