Guerrilla Performance Analysis for Robot Swarms: Degrees of Collaboration and Chains of Interference Events. - Heiko Hamann; Till Aust; Andreagiovanni Reina (ANTS Conference, 2020)

The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments. - Till Aust; Mohamed S. Talamali; Marco Dorigo; Heiko Hamann; Andreagiovanni Reina (ANTS Conference, 2022)

Automatic Classification of Subjective Time Perception Using Multi-Modal Physiological Data of Air Traffic Controllers. - Till Aust; Eirini Balta; Argiro Vatakis; Heiko Hamann (SMC, 2024)

Automated Phytosensing: Ozone Exposure Classification Based on Plant Electrical Signals. - Till Aust; Eduard Buss; Felix Mohr; Heiko Hamann (CoRR, 2024)

PhytoNode Upgraded: Energy-Efficient Long-Term Environmental Monitoring Using Phytosensing. - Eduard Buss; Till Aust; Oliver Hamburger; Christoph Karl Heck; Heiko Hamann (FICC (1), 2025)

Classifying Subjective Time Perception in a Multi-robot Control Scenario Using Eye-tracking Information. - Till Aust; Julian Kaduk; Heiko Hamann (CoRR, 2025)

When Plants Respond: Electrophysiology and Machine Learning for Green Monitoring Systems. - Eduard Buss; Till Aust; Heiko Hamann (CoRR, 2025)