RHINO-AR: An Augmented Reality Exhibit for Teaching Mobile Robotics Concepts in Museums

RHINO-AR: An Augmented Reality Exhibit for Teaching Mobile Robotics Concepts in Museums

N. Dengler, T. Graf, L. Van Holland, P. Stotko, R. Klein, M. Bennewitz

IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2026

SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Pepper Plants

SG-DOR: Learning Scene Graphs with Direction-Conditioned Occlusion Reasoning for Pepper Plants

R. Menon, N. Mueller-Goldingen, S. Pan, G.K.G. Chenchani, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026

Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences

Designing Privacy-Preserving Visual Perception for Robot Navigation Based on User Privacy Preferences

X. Huang, S. Pan, D. Reinhardt, M. Bennewitz

IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2026

Point of View: How Perspective Affects Perceived Robot Sociability

Point of View: How Perspective Affects Perceived Robot Sociability

S. Agrawal, A. Akhtar, N. Dengler, M. Bennewitz

IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2026

Efficient Trajectory Optimization for Autonomous Racing via Formula-1 Data-Driven Initialization

Efficient Trajectory Optimization for Autonomous Racing via Formula-1 Data-Driven Initialization

S. Shehadeh, L. Kutsch, N. Dengler, S. Pan, M. Bennewitz

IEEE International Conference on Intelligent Transportation Systems (ITSC), 2026

O-STaR: Open-Vocabulary Object Search through Spatio-Temporal Reasoning on Dynamic Scene Graphs

O-STaR: Open-Vocabulary Object Search through Spatio-Temporal Reasoning on Dynamic Scene Graphs

R. Menon, Y. Schmiede, G.K.G. Chenchani, H. Blum, M. Bennewitz

Proceedings of 2nd German Robotics Conference (GRC), 2026

Still Image and Spatial-Temporal Tomato Data Enabling Detection, Segmentation, Tracking, and Video-Instance Segmentation Using Strong and Weak Labels

Still Image and Spatial-Temporal Tomato Data Enabling Detection, Segmentation, Tracking, and Video-Instance Segmentation Using Strong and Weak Labels

M. Halstead, E. Guclu, M. Farag, E. Pallotta, C. Hund, R. Roscher, M. Bennewitz, J. Gall, C. Stachniss, C. McCool

Arxiv Pre-print, 2026