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.

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egocentric perception motion tracking, action understanding, and planning
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input decoding for adaptive systems user modeling for computational interaction
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behavioral AI human affect, emotions, and traits via digital biomarkers

Projects to appear and recent research

ACM SIGGRAPH 2026 (July)

Capacitive Sensing on Existing Objects

Retrofitting 3D Objects with Multi-Touch Sensing
CVPR 2026 (June)

Ultra Diffusion Poser

Diffusion Motion Tracking from Sparse Inertial Sensors
IEEE ICRA 2026 (June)

Frequency-Weighted Neural Kalman Filters

ACM CHI 2026 (April)

Point & Grasp

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

Affiliations and collaborations