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About

Sara Kaszuba is a researcher at the intersection of human-robot interaction (HRI), semantic mapping, and virtual reality, whose work addresses the fundamental challenge of enabling robots to understand and communicate with humans in complex environments. Her most cited contributions include the development of S-AvE, a semantic active vision exploration and mapping system that allows mobile robots to build integrated geometric and symbolic representations of indoor spaces—a critical step toward grounding human commands in robotic perception. She also co-organized a pivotal workshop on handling troubles and failures in human-robot conversation, bringing together roboticists and dialogue system experts to tackle miscommunication. Kaszuba’s research extends to gesture recognition through virtual characters and speech act classification for collaborative robotics, with applications in smart manufacturing and agriculture. Her work on RoSmEEry provides a simulated environment for benchmarking semantic mapping algorithms, while her studies on virtual reality tools demonstrate innovative approaches to enhancing HRI. With papers accumulating citations across these interconnected domains, Kaszuba is establishing herself as a key contributor to making robots more perceptive, communicative, and safe partners for humans.