Home  | Research | Groups | Angela P. Schöllig

Research Group Angela P. Schöllig


Link to website at TUM

Angela P. Schöllig

Prof. Dr.

Principal Investigator

Angela P. Schöllig

is Head of the Learning Systems and Robotics Lab at TU Munich.

Her research is motivated by the vision of a seamless interaction of robotic systems with the physical world. In particular, her research interests are centred around the challenges associated with robots operating in increasingly unstructured, uncertain and changing environments, and over long periods of time. These situations challenge current robot designs, which rely on knowing the specifics of the environment and task ahead of time in order to operate safely and efficiently.

Team members @MCML

PhD Students

Link to website

Jim Li

Recent News @MCML

Link to MCML at NeurIPS 2025

28.11.2025

MCML at NeurIPS 2025

51 Accepted Papers (38 Main, and 13 Workshops)

Link to MCML Members Honored in GAIE Spotlight 2025

27.11.2025

MCML Members Honored in GAIE Spotlight 2025

Recognized for Their Contributions to AI Research and Innovation in Germany

Link to Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig

31.03.2025

Robot Jack Navigates Like a Human – A Project Led by Angela Schoellig

TUM News

Link to Angela Schoellig on the BR Podcast

19.02.2025

Angela Schoellig on the BR Podcast

Mathematics and Why It Is Essential for Our Everyday Lives

Publications @MCML

2026


[5]
Y.-J. LiM. GladkovaY. XiaD. Cremers
TRASE: Tracking-free 4D Segmentation and Editing.
3DV 2026 - 13th International Conference on 3D Vision. Vancouver, Canada, Mar 20-23, 2026. To be published. Preprint available. URL

2025


[4] A* Conference
R. Römer • A. Kobras • L. Worbis • A. P. Schöllig
Failure Prediction at Runtime for Generative Robot Policies.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. To be published. Preprint available. arXiv GitHub

[3]
Y.-J. LiM. GladkovaY. Xia • R. Wang • D. Cremers
VXP: Voxel-Cross-Pixel Large-Scale Camera-LiDAR Place Recognition.
3DV 2025 - 12th International Conference on 3D Vision. Singapore, Mar 25-28, 2025. DOI

2024


[2]
Y. Xia • Z. Li • Y.-J. Li • L. Shi • H. Cao • J. F. Henriques • D. Cremers
UniLoc: Towards Universal Place Recognition Using Any Single Modality.
Preprint (Dec. 2024). arXiv GitHub

[1]
Y.-J. LiM. GladkovaY. XiaD. Cremers
SADG: Segment Any Dynamic Gaussian Without Object Trackers.
Preprint (Nov. 2024). arXiv

Back to Top