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About

Isis Bonet is a leading researcher at the intersection of artificial intelligence and robotics, whose work focuses on enabling more intuitive and autonomous human-robot interaction. Her most impactful contribution lies in the field of affective computing, where she pioneered methods for **speech emotion recognition** to allow robots to interpret human emotional states from vocal cues. Her seminal 2015 paper on this topic, which has garnered over **60 citations**, demonstrates how features like pitch, loudness, and speech rate can be used to create emotionally responsive robotic systems. Beyond emotion recognition, Bonet has advanced **autonomous robot control** through the design of high-accuracy tracking systems using **H∞ preview control**, a technique that leverages future trajectory information to enhance precision. Most recently, her 2025 work explores **multi-robot systems** and **soft gripper integration**, introducing novel caging-based control strategies for cooperative object manipulation and transport. By combining emotional intelligence with robust control theory, Bonet’s research is paving the way for robots that can both understand human feelings and perform complex physical tasks with greater autonomy and safety.