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Related Experiment Video

Updated: May 28, 2025

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect

Published on: December 19, 2016

Biohybrid Behavior-Based Navigation with Obstacle Avoidance for Cyborg Insect in Complex Environment.

Mochammad Ariyanto^1,2, Xiaofeng Zheng¹, Ryo Tanaka¹

¹Department of Mechanical Engineering, Graduate School of Engineering, The University of Osaka, Suita, Japan.

|February 11, 2025

Summary

Researchers developed a biohybrid navigation system for cyborg cockroaches, enabling autonomous movement in complex environments by utilizing natural insect behaviors for obstacle avoidance and pathfinding.

Keywords:

autonomous navigation biohybrid behavior-based navigation complex environment cyborg insects

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Last Updated: May 28, 2025

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Published on: August 27, 2021

Area of Science:

Biohybrid Systems
Robotics
Insect Navigation

Background:

Autonomous navigation in complex environments is a significant challenge for robotic systems.
Cyborg insects offer a novel biohybrid approach, merging biological capabilities with electronic control.
Existing navigation methods struggle with unpredictable and unstructured terrains.

Purpose of the Study:

To develop and evaluate a biohybrid behavior-based navigation (BIOBBN) system for autonomous cyborg insect navigation.
To enable cyborg cockroaches to navigate complex, obstacle-ridden environments.
To adapt navigation strategies based on environmental complexity.

Main Methods:

Development of two navigation algorithms: reach-avoid and adaptive reach-avoid.
Integration of algorithms with cyborg cockroaches, leveraging natural behaviors like wall-following and climbing.
Testing the BIOBBN system in simulated complex environments with varied surfaces (sand, rock).

Main Results:

The BIOBBN system successfully enabled cyborg cockroaches to navigate and reach target locations autonomously.
The adaptive reach-avoid algorithm effectively managed more challenging scenarios with increased obstacles.
Navigation time increased in denser environments due to enhanced obstacle avoidance and natural climbing behaviors.

Conclusions:

The BIOBBN system demonstrates the potential of biohybrid approaches for autonomous navigation in complex environments.
Leveraging natural insect behaviors is a viable strategy for enhancing cyborg navigation capabilities.
Further development could lead to robust autonomous cyborg insects for diverse applications.