The 3D depth estimation and relative pose estimation problem within a decentralized
architecture is a challenging problem that arises in missions that require coordination …

In this paper, we focus on the problem of vision-based localization for ground robotic
applications. In recent years, camera only or camera-IMU (inertial measurement unit) based …

We consider the case in which a robot has to navigate in an unknown environment, but does
not have enough on-board power or payload to carry a traditional depth sensor (eg, a 3D …

We present a Deep Learning based system for the twin tasks of localization and obstacle
avoidance essential to any mobile robot. Our system learns from conventional geometric …

In recent years, the development of ground robots with human-like perception capabilities
has led to the use of multiple sensors, including cameras, lidars, and radars, along with …

Depth sensing is important for robotics systems for both navigation and manipulation tasks.
We here present a learning-based system which predicts accurate scene depth and can …

We propose a distributed algorithm for estimating the 3D pose (position and orientation) of
multiple robots with respect to a common frame of reference when Global Positioning …

Many solutions exist for estimating the pose of an object with respect to a camera, where
perfect knowledge of the object is assumed. In this work we lift the assumption of a perfectly …

We present a new vision based cooperative pose estimation scheme for systems of mobile
robots equipped with RGB-D cameras. We first model a multi-robot system as an edge …

Autonomous mobile robots rely on knowing the 3D structure of their environment in order to
plan and operate safely. This paper addresses the problem of estimating depth maps from …