Kangqi Li

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About

Kangqi Li is a researcher at the forefront of human-robot interaction, specializing in the synthesis of non-verbal social behaviours that enable more natural and intuitive collaboration between humans and machines. Their key research areas include social signal processing, dominance expression in robotics, and the modulation of robotic behaviours to convey hierarchical social cues. Li’s most notable contribution, the 2019 paper “Robots Expressing Dominance: Effects of Behaviours and Modulation,” tackles the critical challenge of enabling robots to appropriately perceive and express verticality—a fundamental aspect of social interaction. This work, which has garnered 12 citations, demonstrates how carefully designed non-verbal behaviours can allow robots to signal dominance or submissiveness, thereby improving their acceptance and effectiveness in collaborative settings. By bridging the gap between robotic function and social nuance, Li’s research lays essential groundwork for the development of socially aware robots that can navigate complex human dynamics, making them more effective partners in everything from workplace teams to assistive care environments.