Joao Marcos Correia Marques — accepted AI-conference papers

2025

Map Space Belief Prediction for Manipulation-Enhanced Mapping

Joao Marcos Correia Marques, Nils Dengler, Jesper Mücke, Tobias Zaenker, Shenlong Wang, Maren Bennewitz +1

RSS 2025poster

Searching for objects in cluttered environments requires selecting efficient viewpoints and manipulation actions to remove occlusions and reduce uncertainty in object locations, shapes, and categories. In this work, we address the problem of manipulation-enhanced semantic mapping, where a robot has…

Cited by 2 PDF ↗Scholar ↗

2024

On the Overconfidence Problem in Semantic 3D Mapping

Joao Marcos Correia Marques, Albert J. Zhai, Shenlong Wang, Kris Hauser

ICRA 2024poster

Semantic 3D mapping, the process of fusing depth and image segmentation information between multiple views to build 3D maps annotated with object classes in real-time, is a recent topic of interest. This paper highlights the fusion overconfidence problem, in which conventional mapping methods assign…

Cited by 6 Source ↗code ↗Scholar ↗

2022

Real-time Semantic 3D Reconstruction for High- Touch Surface Recognition for Robotic Disinfection

Ri-Zhao Qiu, Yixiao Sun, Joao Marcos Correia Marques, Kris Hauser

IROS 2022poster

Disinfection robots have applications in promoting public health and reducing hospital acquired infections and have drawn considerable interest due to the COVID-19 pan-demic. To disinfect a room quickly, motion planning can be used to plan robot disinfection trajectories on a reconstructed 3D map of…

Cited by 13 Source ↗code ↗Scholar ↗