Meticulous 3D environment representations have been a longstanding goal in computer
vision and robotics fields. The recent emergence of neural implicit representations has …

Neural Fields have emerged as a transformative approach for 3D scene representation in
computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …

Abstract Neural Radiance Fields (NeRFs) are trained to minimize the rendering loss of
predicted viewpoints. However, the photometric loss often does not provide enough …

Neural Radiance Field (NeRF) technology has made significant strides in creating novel
viewpoints. However, its effectiveness is hampered when working with sparsely available …

We present dGrasp, an implicit grasp policy with an enhanced optimization landscape. This
landscape is defined by a NeRF-informed grasp value function. The neural network …

In this paper, we propose an active robotic 3D reconstruction methodology for achieving full
object 3D reconstruction. Existing robotic 3D reconstruction approaches often struggle to …