Sumo Robot Duel 2D: FOV Cone & Ring-Edge Strategy |…

What is Sumo Robot Duel 2D?

Sumo Robot Duel 2D simulates a simplified version of mini-sumo competitions, where two autonomous robots navigate an arena to push each other out. This simulation uses realistic sensor inputs like field of view cones and edge sensors to mimic real-world competition conditions.

By adjusting parameters such as the sensor's field of view and range, or choosing different charging strategies, students can observe how these factors influence the robot’s performance.

Field of View Cone and Edge Sensors

A field of view (FOV) cone is a virtual cone-shaped area around a sensor that determines what objects it can detect. In sumo robots, this helps them avoid collisions and locate opponents.

Edge sensors are used to detect the boundary of the arena, allowing robots to know when they are near the edge and adjust their movement accordingly.

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Sensor Range and Charge Speed

The sensor range determines how far a robot can see or sense its surroundings. A longer range allows for more strategic positioning but may also increase the risk of false detections.

Charge speed refers to the rate at which a robot can move towards an opponent. Faster charging can give a competitive edge, but it must be balanced with the need to avoid collisions.

Strategies and Their Impact

A straight-charge strategy involves moving directly towards the opponent without much lateral movement, which is simple but may lead to direct confrontations.

A circle-and-flank attack strategy involves circling around the opponent before pushing them out, providing more strategic positioning and potentially avoiding collisions.

Frequently asked questions

How do field of view cones help sumo robots avoid collisions?

Field of view cones allow sumo robots to detect objects within a certain angular range. By adjusting this cone, robots can navigate more safely and predict potential obstacles before they become a problem.

Why is edge detection important in mini-sumo competitions?

Edge detection helps sumo robots determine when they are near the boundary of the arena. This information is crucial for maintaining control over their movement and ensuring they do not accidentally exit the competition area.

Can changing sensor range affect a robot's strategy in the simulation?

Yes, altering the sensor range can significantly impact how a robot perceives its environment. A longer range allows for more proactive strategies but also increases the risk of false detections that could disrupt the robot’s movement.

What is the difference between straight-charge and circle-and-flank strategies?

A straight-charge strategy involves moving directly towards the opponent, which can be effective for a head-on confrontation. A circle-and-flank attack strategy involves circling around the opponent to position them more effectively before pushing them out.

Try it live

Everything above runs in your browser — open Sumo Robot Duel 2D: FOV Cone & Ring-Edge Strategy and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

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