17.10.2025
MCML at IROS 2025
Six Accepted Papers
IEEE/RSJ International Conference on Intelligent Robots and Systems, Hangzhou, China, Oct 19-25, 2025
We are happy to announce that MCML researchers have contributed a total of 6 papers to IROS 2025. Congrats to our researchers!
Main Track (6 papers)
Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI
Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI
Scalable Outdoors Autonomous Drone Flight with Visual-Inertial SLAM and Dense Submaps Built without LiDAR.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI GitHub
The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI
Tactile-Guided Robotic Ultrasound: Mapping Preplanned Scan Paths for Intercostal Imaging.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI
Related
24.02.2026
Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks
Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.
19.02.2026
COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious
Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.
05.02.2026
Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant
Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.