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About

Jiale Gong is a leading researcher at the intersection of soft robotics, human-robot interaction, and biomedical control systems. His most impactful work centers on the design and control of soft robotic hands and manipulators, with a particular emphasis on using surface electromyography (sEMG) signals for intuitive, human-like control. Gong’s landmark 2018 paper, "A soft robotic hand: design, analysis, sEMG control, and experiment," has garnered 73 citations, establishing a foundational framework for integrating soft, compliant structures with neural-inspired control. He further advanced this field by developing fiber-reinforced humanoid manipulators that leverage sEMG force estimation for enhanced dexterity and safety. Beyond hardware, Gong has made notable contributions to human-robot interaction security, proposing a movement authorization strategy based on human attention monitoring and accident responsibility analysis—a critical step toward safe, collaborative service robots. His work on a three-cavity humanoid soft hand, modeled using the Yeoh hyperelastic material model, demonstrates his commitment to bridging theoretical mechanics with practical, biomimetic design. Through these contributions, Gong is shaping a future where robots are not only softer and safer but also more responsive to human intent.