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Feedback control of automatic navigation for cyborg cockroach without external motion capture system

  • 0Department of Mechanical Engineering, Graduate School of Engineering, Osaka University, Suita 565-0871, Japan.
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March 7, 2024

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March 7, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Cyborg cockroaches equipped with onboard obstacle avoidance and human detection navigate complex environments autonomously. This advancement overcomes natural cockroach limitations, enhancing their potential for search and rescue missions.

Area Of Science

  • Robotics and Bio-hybrid Systems
  • Search and Rescue Technology
  • Embedded Sensor Systems

Background

  • Cockroaches offer unique locomotion and size advantages for hybrid robot platforms in search and rescue (SAR).
  • Natural cockroach behavior, such as cornering, limits their effectiveness in unstructured environments.
  • Existing cyborg cockroach systems lack autonomous navigation and human detection capabilities.

Purpose Of The Study

  • To develop and implement an onboard automatic obstacle avoidance and human detection system for cyborg cockroaches.
  • To enable autonomous navigation and human recognition without external motion capture systems.
  • To enhance the utility of cyborg cockroaches in challenging search and rescue scenarios.

Main Methods

  • Integrated a low-power Time of Flight (ToF) sensor for distance measurement and obstacle detection.
  • Utilized a low-resolution thermopile array sensor for human presence detection.
  • Implemented a feedback control system using Inertial Measurement Unit (IMU) and ToF data for navigation.
  • Employed a random forest classifier for embedded human detection.

Main Results

  • Successfully navigated unstructured laboratory environments, avoiding obstacles and escaping corners autonomously.
  • Demonstrated real-time human presence recognition.
  • Achieved high accuracy (92.5%) for human detection at 25 cm, with reduced accuracy (70%) at 100 cm.

Conclusions

  • The developed onboard system effectively enables cyborg cockroaches to overcome behavioral limitations for SAR missions.
  • The integrated sensors and control system provide robust obstacle avoidance and human detection capabilities.
  • This research advances the potential of bio-hybrid robots in complex, real-world applications.

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