Cunfu He

Beijing University of Technology, Dalian University of Technology

Papers

Total Citations

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About

Cunfu He is a leading researcher in nondestructive evaluation and smart mechanical systems, with a primary focus on advanced sensing technologies and adaptive robotic structures. His most influential work, "Quantitative evaluation of residual stress and surface hardness in deep drawn parts based on magnetic Barkhausen noise technology" (2020, 63 citations), has significantly advanced the field of materials characterization by enabling precise, non-contact measurement of mechanical properties in metal components. This contribution is critical for quality control in manufacturing, offering a reliable method to assess stress and hardness without damaging parts. More recently, He has pioneered the use of bistable structures in robotics, as demonstrated in his 2025 paper on "Instant Energy Barrier Modulation in Bistable Robotic Grippers for Compliant Triggering and Powerful Grasping." This work addresses a key limitation of existing bistable grippers—their invariable energy barriers—by introducing a mechanism for real-time modulation, enabling both gentle handling and strong gripping. With a growing citation impact and a trajectory toward intelligent, adaptive systems, He’s research bridges materials science and robotics, offering practical solutions for industrial automation and smart manufacturing.