Max Robotics — Global Service Robot Directory + US Certification

About

Suna Bensch is a leading researcher in human-robot interaction (HRI), with a core focus on making robots understandable, collaborative, and socially aware. Her most influential work, the 2018 paper “Understandable Robots - What, Why, and How” (132 citations), establishes a foundational framework for designing robots that humans can intuitively comprehend, addressing both the cognitive and practical dimensions of transparency in autonomous systems. Bensch’s contributions extend to developing open-source tools like WoZ4U (38 citations), which standardizes and simplifies Wizard-of-Oz experiments for the HRI community, enabling faster hypothesis testing. She has also pioneered research on interaction quality metrics (30 citations) and verbal explanation mechanisms for collaborating robot teams, ensuring that multi-robot systems can articulate their actions and intentions to human partners. Her work on backchanneling and natural language communication for assistive social robots, particularly in contexts like assisted living, demonstrates a commitment to context-aware, culturally sensitive design. With a growing citation impact and editorial leadership on socially aware robotics, Bensch continues to shape how robots can be trusted partners in everyday human environments.