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Verified CAS / Academic Author2 Decoded Studies

Prof. YANG Pingan

Chongqing University

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials2026DOI: 10.1007/s40843-025-3652-2

Bio-inspired self-sensing suction cups for stable dynamic grasping

Existing robotic end-effector gripping technologies often encounter challenges such as poor adaptability to environmental changes, incomplete deformation sensing, and insufficient adhesion stability, which can compromise operational safety and reliability. Here, we present the bio-inspired self-sensing suction cup, in which the core self-sensing capability is achieved by combining high-performance, laser-induced graphene/Ag NWs flexible sensors with a Wheatstone bridge design. The flexible sensors provide high sensitivity, while the Wheatstone bridge circuit enables accurate and stable detection of deformation during the gripping process. Integrated into the octopus-inspired suction cup, this system allows for real-time monitoring of deformation and adsorption stability. The self-sensing suction cup demonstrates good performance across a 0–25 kPa negative pressure range, with outstanding linearity (R2 = 0.993) and high sensitivity (GF = 10.436 kPa−1). Experimental results confirm that the suction cup can achieve stable adsorption under varying loads and enable real-time monitoring of the suction cup status during the gripping process. This design provides a promising solution for intelligent gripping systems, logistics, and object recognition in challenging environments.

SCIENCE CHINA Materials2025DOI: 10.1007/s40843-024-3307-4

Bio-inspired triboelectric nanogenerator as a self-powered gait recognition sensor for legged robots

Reducing dependency on external energy sources for gait recognition systems in legged robots is critical for extending operational endurance in field transport and emergency rescue. This study presents a performance-enhanced triboelectric sensor with a tilted magnetic microneedle surface (TMMS-TENG), inspired by the tilted microstructures on mantis forelimbs. By integrating magnetorheological materials with micro-engineering, the tilting and bending of microneedles are controlled via magnetic field direction and intensity, significantly modulating the sensing signal. The TMMS-TENG achieves a peak output power of 5.82 mW at a load resistance of 3 MΩ, with high sensitivity (7.57 kPa⁻¹ in the 0–1 kPa range, 3.55 times higher than planar structures), fast response (loading: 61.3 ms; recovery: 50.8 ms), and high stability. When the microneedle tilt angle is 25°, sensitivity remains at 1.19 kPa⁻¹ in the 1–11 kPa range. The sensor demonstrates outstanding recognition capability and stability in legged robot gait recognition, offering potential for robotics, intelligent manufacturing, and health monitoring. This approach reduces reliance on external power, enhancing flexibility and energy efficiency in field operations.