Microbial Fuel Cell Based Thermosensor for Robotic Applications

Area of Science:

• Robotics and Artificial Intelligence
• Bioengineering and Synthetic Biology
• Environmental Science and Technology

Background:

• Autonomous bio-robots require self-sustainable functions within the biological realm.
• Microbial Fuel Cells (MFCs) offer a platform technology for integrated robotic systems.
• Existing robotic systems lack efficient, autonomous thermal sensing capabilities.

Purpose of the Study:

• To design and test a Microbial Fuel Cell (MFC)-based thermosensor for artificial bio-robots.
• To evaluate the MFC thermosensor's performance in detecting thermal stimuli.
• To demonstrate the application of MFC thermosensors in a mobile robot for thermotaxis.

Main Methods:

• Characterization of MFC thermosensor performance in open-loop conditions with controlled loads and feed rates.
• Testing the MFC thermosensor's response to transient thermal stimuli at a distance.
• Integration of MFC thermosensors into a mobile robot for closed-loop thermotactic control.

Main Results:

• The MFC thermosensor detected a ~1°C temperature rise from 10 cm, with a minimum stimulus interval of 384 s in open-loop.
• In closed-loop operation, the robot detected thermal stimuli with a minimum interval of 160 s, enabling navigation away from heat.
• The system demonstrated autonomous thermotaxis, mimicking biological responses.

Conclusions:

• MFCs can function as autonomous, living sensors in robotics, specifically for thermal detection.
• MFC-based thermosensors offer a viable solution for environmental sensing in artificial bio-robots.
• This technology holds promise for future applications in thermal homeostasis and navigation for bio-robots.