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Seconds-Integrated Monolithic System of Zn-Ion Micro-Battery and Multi-Functional Sensors for Robotic Autonomous
Xiangyang Li1,2, Xiaoyu Zheng1, Chunlong Dai3
1Key Laboratory of Cluster Science, Ministry of Education of China, Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, P. R. China.
Advanced Materials (Deerfield Beach, Fla.)
|February 28, 2026
Summary
We developed a rapid Joule heating method to create integrated microsystems combining energy storage and sensing. This ultrafast fabrication overcomes integration challenges, enabling high-performance devices for autonomous applications.
Area of Science:
- Materials Science
- Energy Storage
- Microsystems Engineering
Background:
- Highly integrated devices combining energy storage and sensing are crucial for intelligent microsystems.
- Current manufacturing faces challenges like inefficiency, interfacial degradation, and performance interference.
Purpose of the Study:
- To demonstrate an ultrafast and efficient strategy for constructing monolithic multifunctional sensing and energy storage systems.
- To overcome limitations of current manufacturing processes for integrated microsystems.
Main Methods:
- Utilized the Joule heating effect for ultrafast (8 s) monolithic integration of components.
- Developed an anode-free Zinc-ion micro-battery as the energy storage unit.
- Integrated the system into robotic arms for autonomous environmental perception and decision-making.
Main Results:
- Achieved seamless integration, mitigating interfacial incompatibility and signal interference.
- The Zinc-ion micro-battery demonstrated high capacity (850 µAh cm-2) and energy density (1060 µWh cm-2).
- The system exhibited rapid charging (150 s), 6+ hours of operation, 24-hour standby, and >99% accuracy in object identification for machine learning applications.
Conclusions:
- The Joule heating strategy enables efficient, monolithic integration of sensing and energy storage for advanced microsystems.
- This flexible system is suitable for next-generation autonomous microrobots, smart healthcare, and human-machine interfaces.
- The approach significantly advances the practical implementation of intelligent microsystems.

