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A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

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Agent-based modeling reveals how bats navigate dense group emergences.

Omer Mazar¹, Yossi Yovel^1,2

¹Tel Aviv University, Sagol School of Neuroscience, Tel Aviv, Israel.

|March 2, 2026

Summary

This summary is machine-generated.

Bats use echolocation for navigation, even in crowded roosts. Their frequent calls and simple movement strategies overcome acoustic jamming for successful flight.

Keywords:

agent-based modeling auditory processing bats computational biology echolocation ecology sensory system swarming systems biology

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Area of Science:

Animal Behavior
Bioacoustics
Robotics

Background:

Bats navigate complex, dark environments using echolocation.
High-density roosts pose navigation challenges due to acoustic jamming from conspecifics.

Purpose of the Study:

To investigate if echolocation alone is sufficient for bat navigation in high-interference environments.
To model bat echolocation behavior in dense roost conditions.

Main Methods:

Developed a sensorimotor model simulating bat echolocation in crowded roosts.
Analyzed the impact of call frequency and movement strategies on navigation.

Main Results:

Acoustic jamming may be less severe than previously thought.
Frequent calls with short intervals enhance information integration.
Simple strategies like wall-following aid navigation.

Conclusions:

Bats can navigate dense environments using echolocation and basic movement strategies.
Signal redundancy and information integration overcome acoustic interference.
Findings offer insights for swarm robotics and collective movement.