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Nature-Inspired Photoresponsive Bionic Robots Using the Tellurium-MoS2-Graphene Hybrid Structure
Raksha D Salian1, Avijit Kumar Das2, Ajeetkumar Patil3
1Department of Physics and Electronics, CHRIST University, Bangalore 560029, India.
ACS Applied Materials & Interfaces
|March 12, 2026
Summary
Researchers developed a novel hybrid structure using Tellurium (Te) nanoparticles for advanced photoresponsive actuation. This innovation enhances soft robotics with efficient near-infrared light-driven movement and significant deformation capabilities.
Area of Science:
- Materials Science
- Robotics
- Nanotechnology
Background:
- Multifunctional soft robots mimic natural organisms for navigation in complex environments.
- Photothermal self-excited actuators offer wireless power and control for soft robotics.
- Achieving efficient photoresponsive actuation is crucial for soft-bioelectronics.
Purpose of the Study:
- To investigate the impact of Tellurium (Te) nanoparticles on 2D hybrid structures for enhanced photoresponsive actuation.
- To explore the potential of Te-based nanostructures for near-infrared (NIR) light-driven soft robotics.
Main Methods:
- Systematic study of Te nanoparticles integrated into a 2D hybrid structure.
- Characterization of photothermal conversion efficiency, bending, and response time under NIR light.
- Development of a soft bionic "Dragonfly" to demonstrate actuation capabilities.
- Utilizing Density Functional Theory (DFT) and in situ Raman spectroscopy to analyze photoactuation mechanisms.
Main Results:
- Achieved a photothermal conversion efficiency (η) of approximately 12.7%.
- Demonstrated significant bending capabilities (∼5.74 cm-1) and a fast response time (∼250 ms).
- The hybrid structure reached temperatures of ∼85 °C within ∼5 s upon NIR light exposure.
- Successfully developed a soft bionic "Dragonfly" exhibiting controllable bending and wing movements.
Conclusions:
- The Te-based hybrid structure significantly enhances photothermal conversion and actuation performance.
- This approach offers a promising strategy for developing efficient and responsive soft bionic systems.
- The developed technology has substantial potential for advanced soft robotic and soft-bioelectronic applications.
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