SIPLAB: Sensing, Interaction & Perception Lab

The SIPLAB is a research lab at ETH Zürich working on egocentric perception, computational interaction, and behavioral AI. We advance mixed reality, robotics, and human-computer inter­action toward adaptive intelli­gence and human-aware systems. We are part of the Department of Computer Science and the AI Center.

egocentric perception scalable methods for action & motion tracking
computational interaction decoding input intent for adaptive systems
behavioral AI human affect, emotions, and traits via digital biomarkers

Projects to appear

IEEE ICRA 2026 (June)

Frequency-Weighted Neural Kalman Filters

ACM CHI 2026 (April)

AutoOptimization

Automating UI Optimization through Multi-Agentic Reasoning
ACM CHI 2026 (April)

Preference-Guided Prompt Optimization

Prompt Optimization for Image Generation
ACM CHI 2026 (April)

Point & Grasp

Flexible Selection of Out-of-Reach Objects Through Probabilistic Cue Integration

Affiliations and collaborations