Tao Kang

Papers

Total Citations

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About

Tao Kang explores the intersection of robotics, human behavior, and industrial optimization, with research spanning social robotics and mechanical engineering. His most notable work, "Robot Helps When Robot Fits: Examining the Role of Baby Robots in Fertility Promotion" (2019, 7 citations), applies the decomposed theory of planned behavior and the uncanny valley theory to investigate how baby robots might influence fertility intentions in China—a creative response to the country's demographic challenges. This study demonstrates Kang's ability to bridge psychological frameworks with emerging robotic applications. More recently, Kang has advanced industrial robotics with "Multi-Objective Optimal Control Method for the 6-DOF Robotic Crusher" (2024, 2 citations), where he optimizes crushing performance by balancing product quality, energy efficiency, and equipment wear. This work showcases his technical depth in control systems and multi-objective optimization. Kang's research portfolio uniquely combines socially impactful robotics with practical engineering solutions, offering valuable insights for researchers interested in human-robot interaction, demographic policy, and industrial automation.