Lukas Grasse
Papers
4
Total Citations
40
H-Index
3
About
Lukas Grasse is a researcher at the intersection of human-robot interaction, assistive robotics, and biologically inspired cognitive systems. His work focuses on making robots more accessible and intuitive to control, particularly for vulnerable populations and in high-stakes environments. Grasse’s most cited paper, “Speech Interaction to Control a Hands-Free Delivery Robot for High-Risk Health Care Scenarios” (2021, 24 citations), addresses a critical need during the Covid-19 pandemic by enabling contactless, voice-controlled robot operation to protect healthcare workers and patients. He has also made notable contributions to robot perception and social cognition, including a biologically inspired framework for memory-based multi-sensory joint attention (2021, 8 citations) and a Bayesian system for noise-robust binaural sound localisation on humanoid robots (2019, 7 citations). His recent work extends speech-based control to lower limb exoskeletons, developing motion planning strategies for safer human-robot interaction. By combining principles from cognitive science, signal processing, and robotics, Grasse is advancing the usability and autonomy of robotic systems in healthcare, rehabilitation, and everyday assistance.
Research Focus
Key Achievements
Top Papers
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