My research revolves around the core idea of fluent human-robot interaction in real-world scenarios. I explore how to build
models for robots to solve real-world problems, by enabling them to automatically perceive, anticipate, adapt, and coordinate with
people in human environments. I take an inter-disciplinary approach to address these challenges, and frequently collaborate with
researchers from psychology, cognitive science, neuroscience, social science, and music. I investigate the techniques
that humans employ to fluently interact and coordinate with others in real-world scenarios. In my work, I design human-inspired
algorithms for robots, develop both software and hardware, and validate the work experimentally with people.
Specialties: Robotics, Artificial Intelligence, Computer Vision, Machine Learning, Human-Robot Interaction, Activity Recognition, Social Signal Processing.