Home  | News

16.05.2025

Tiny logo
Teaser image to MCML at ICRA 2025

MCML at ICRA 2025

Four Accepted Papers

IEEE International Conference on Robotics and Automation, Atlanta, GA, USA, May 19-23, 2025

We are happy to announce that MCML researchers have contributed a total of 4 papers to ICRA 2025. Congrats to our researchers!

Main Track (4 papers)

D. HuangN. NavabZ. Jiang
Improving Probe Localization for Freehand 3D Ultrasound using Lightweight Cameras.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

J. Jung • S. Boche • S. B. Laina • S. Leutenegger
Uncertainty-Aware Visual-Inertial SLAM with Volumetric Occupancy Mapping.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

J. Meier • L. Inchingolo • O. DhaouadiY. Xia • J. Kaiser • D. Cremers
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

S. Papatheodorou • S. Boche • S. Laina • S. Leutenegger
Efficient Submap-based Autonomous MAV Exploration using Visual-Inertial SLAM Configurable for LiDARs or Depth Cameras.
ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

#research #top-tier-work #cremers #leutenegger #navab

Related

Link to Benjamin Lange: The Real Risk of AI Agents is Manipulation Through Kindness

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

Read more
Tiny logo
Link to MCML at CVPR 2026

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

Read more
Tiny logo
Link to MCML at ICRA 2026

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

Read more
Link to Zeynep Akata: To Trust AI, We Need to Understand What Goes On Behind the Scenes

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Read more
Link to Medical diagnoses: how AI explanations help doctors

27.05.2026

Medical Diagnoses: How AI Explanations Help Doctors

Stefan Feuerriegel shows that AI models can improve diagnostic accuracy in radiology – but how the AI explains its recommendations is crucial.

Read more
Back to Top