Lingxing Zeng
Papers
1
Total Citations
57
H-Index
1
About
Lingxing Zeng is a leading researcher at the intersection of artificial intelligence, flexible electronics, and environmental sensing. His work centers on developing intelligent, hardware-supported multimodal electronic skins (e-skins) that mimic human sensory capabilities for critical applications, particularly in post-disaster rescue robotics. Zeng’s most cited paper (2024, 57 citations) introduces an AI-enhanced e-skin capable of real-time object recognition and wireless toxic gas alarm, addressing a key limitation of current rescue robots: the inability to interact with unstable, hazardous environments. This innovation integrates tactile and chemical sensing with on-device AI, enabling robots to navigate rubble and detect dangers autonomously. Beyond this flagship work, Zeng’s contributions span hardware-software co-design for low-power, real-time sensory processing, positioning him at the forefront of embodied AI for safety-critical systems. His research has been recognized for its potential to save lives in earthquake and industrial disaster scenarios, bridging the gap between soft robotics and intelligent perception. With growing citation impact, Zeng continues to push the boundaries of how machines perceive and respond to the physical world.
Research Focus
Key Achievements
Top Papers
- 1