Viktor Schmuck

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About

Viktor Schmuck is a robotics researcher whose work sits at the intersection of human-robot interaction, social navigation, and crowd analysis. His primary research focus is on enabling robots to perceive and respond to complex human social dynamics—moving beyond simple obstacle avoidance to truly socially aware behavior. Schmuck’s most influential contribution is his work on self-supervised prediction of user intention to interact with service robots (22 citations), which proposes a learning-based approach that allows robots to proactively detect whether a nearby person intends to engage, thereby smoothing the interaction experience. He has also advanced the detection of conversational groups in crowded environments through his work on iGROWL (6 citations), which uses link prediction to improve group detection—a critical capability for robots operating in public spaces. Most recently, his paper on SANG (Socially Aware Navigation Between Groups, 2025) tackles the challenge of navigating among human groups by combining social force models with reinforcement learning. Schmuck’s research is notable for its practical focus on making robots not just functional but socially fluent, with direct applications for service robots in malls, airports, and other human-populated environments.