Recent works on 3D semantic segmentation propose to exploit the synergy between images
and point clouds by processing each modality with a dedicated network and projecting …

In this letter, we tackle the problem of active robotic 3D reconstruction of an object. In
particular, we study how a mobile robot with an arm-held camera can select a favorable …

In this paper, we present a novel integrated vehicular system using collaborative unmanned
aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for autonomous exploration …

Despite recent advancements in neural 3D reconstruction, the dependence on dense multi-
view captures restricts their broader applicability. In this work, we propose\textbf …

Autonomous robotic tasks require actively perceiving the environment to achieve application-
specific goals. In this paper, we address the problem of positioning an RGB camera to …

In this paper, we investigate the following question: when performing next best view
selection for volumetric 3D reconstruction of an object by a mobile robot equipped with a …

Implicit neural representations have shown compelling results in offline 3D reconstruction
and also recently demonstrated the potential for online SLAM systems. However, applying …

A high-quality 3D reconstruction of a scene from a collection of 2D images can be achieved
through offline/online mapping methods. In this paper, we explore active mapping from the …

We present NARUTO a neural active reconstruction system that combines a hybrid neural
representation with uncertainty learning enabling high-fidelity surface reconstruction. Our …

Object finding in clutter is a skill that requires perception of the environment and in many
cases physical interaction. In robotics, interactive perception defines a set of algorithms that …