Laser distance sensors such as LIDAR are useful for many outdoor robotic vehicles, but their
high cost and complexity precludes their use in low-cost applications, while other low-cost …

Autonomous mobile robots are required to move throughout map the environment, locate
themselves, and plan paths between positions. Vision stands out among the other senses …

Autonomous navigation in a city-scale environment brings several technical challenges that
are difficult to solve by traditional approaches. In this paper, we briefly discuss the limitations …

We present a novel framework for operator assistance in indoor navigation and map
building wherein the ground vehicle learns to navigate by imitating the operator commands …

Purpose The purpose of this study is to develop a cost-effective autonomous wheelchair
robot navigation method that assists the aging population. Design/methodology/approach …

We present a system that uses deep learning and visual SLAM for autonomous flight in
indoor environments. In this spirit, we use a state-of-the-art CNN architecture to obtain depth …

Obstacle Detection is a central problem for any robotic system, and critical for autonomous
systems that travel at high speeds in unpredictable environment. This is often achieved …

Novel autonomous navigation system for an indoor mobile robot based on monocular vision
is presented. The navigation system is composed of on-line and off-line stages. During the …

This paper addresses monocular navigation in monotonous corridor environments, where
visual simultaneous localization and mapping are difficult. We developed a simple …

While navigation based on 2D laser data is well understood, the application of robots at
home environments requires seeing more than a slice of the world. RGB-D cameras have …