Wireless motion control of a swimming eel-machine hybrid robot

Area of Science:

• Robotics
• Bio-hybrid systems
• Neurostimulation

Background:

• Underwater search and detection missions require adaptable and energy-efficient robots.
• Existing bio-inspired robots often face challenges with power consumption and environmental adaptation.
• Living organisms possess inherent capabilities for locomotion and environmental interaction.

Purpose of the Study:

• To develop a flexible aquatic swimming robot utilizing a living eel.
• To investigate the effectiveness of electrical stimulation of the lateral line for controlling eel locomotion.
• To assess the energy efficiency and adaptability of the eel-machine hybrid robot.

Main Methods:

• A living eel was fitted with a wireless electronic backpack stimulator.
• Electrical stimulation parameters (amplitude, frequency, pulse width) were varied to control swimming.
• Forward and backward swimming speeds and response success rates were measured.
• Power consumption of the electronic backpack was quantified.

Main Results:

• Optimal stimulus parameters for forward and backward swimming were identified (e.g., 5-20 Hz frequency, 40-60 ms pulse width).
• Maximum success rates for forward and backward swimming responses reached approximately 96% and 77%, respectively.
• Electrical stimulation increased forward swimming speed by ~70% with low power consumption (48.1 mW).

Conclusions:

• The eel-machine hybrid robot demonstrates efficient locomotion control through lateral line stimulation.
• This bio-hybrid approach offers significant advantages in energy efficiency compared to traditional bio-inspired robots.
• The robot's inherent adaptability makes it suitable for challenging underwater exploration tasks.