Lisset Salinas

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About

Lisset Salinas is a leading researcher in human-robot interaction (HRI) and service robotics, with a focus on developing intuitive programming frameworks and perceptual systems that enable robots to operate seamlessly in human environments. Her most influential work, the SitLog programming language (2013, 22 citations), introduced a declarative, situation-oriented logical formalism for specifying service robot tasks. This task- and domain-independent language allows robots to interpret and execute complex behaviors in dynamic settings, bridging the gap between high-level human instructions and low-level robot control—a foundational contribution to behavior engineering. Salinas further advanced HRI by integrating multi-direction-of-arrival (DOA) estimation into robotic systems (2015, 12 citations), demonstrating how sound source localization can enhance natural interaction, such as enabling robots to orient toward speakers during conversations. This work underscores her commitment to making robots more perceptive and socially aware. With over 30 citations across her key publications, Salinas’s research has shaped how robots are programmed and how they perceive human cues, offering practical tools for developers and inspiring new directions in situated robotics and interactive AI.