Home | News

16.04.2026

Teaser image to Welcoming Achim Lilienthal to MCML

Welcoming Achim Lilienthal to MCML

Advancing Perception and Autonomy in Robotics Through AI-Driven Systems

We are pleased to welcome Achim J. Lilienthal as a Principal Investigator at MCML.

Achim J. Lilienthal is Professor at the Technical University of Munich, where he holds the Chair of Perception for Intelligent Systems. His research focuses on perception systems in unconstrained and dynamic environments, combining domain knowledge with AI methods. His work spans mobile robot olfaction, rich 3D perception, autonomous navigation, human-robot interaction, eye-tracking support systems, and applications in mathematics education research.

He has extensive international experience, including leading and contributing to major research initiatives such as the Horizon 2020 project DARKO, as well as academic roles and collaborations across Europe and beyond. He has also founded research labs and spin-off companies in mobile robotics and olfaction.

#research #lilienthal

Related

Tiny logo
Link to MCML at EMNLP 2026

23.10.2026

MCML at EMNLP 2026

MCML researchers are represented with 33 papers at EMNLP 2026 (21 Main, 11 Findings, and 1 Workshop).

Read more
Link to When Flatter Is Not Always Better

15.10.2026

When Flatter Is Not Always Better

In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.

Read more
Link to Björn Schuller: What Your Voice Reveals About Your Health

13.10.2026

Björn Schuller: What Your Voice Reveals About Your Health

MCML PI Björn Schuller explores how AI can analyze the human voice to detect signs of disease and reveal insights into our health.

Read more
Tiny logo
Link to MCML at CSCW 2026

09.10.2026

MCML at CSCW 2026

MCML researchers are represented with 1 paper at CSCW 2026.

Read more
Link to Best Paper Award at ASMUS workshop at MICCAI 2026

08.10.2026

Best Paper Award at ASMUS workshop at MICCAI 2026

Ultra-Wide-NeRF, co-authored by MCML PI Nassir Navab and team, won the Best Paper Award at the ASMUS workshop at MICCAI 2026.

Read more
Back to Top