The aim of this paper is to provide a global overview of mobile robot control and navigation
methodologies developed over the last decades. Mobile robots have been a substantial …

As robots become more autonomous, people will see them as more responsible for
wrongdoing. Moral psychology suggests that judgments of robot responsibility will hinge on …

Monocular depth estimation has become one of the most studied applications in computer
vision, where the most accurate approaches are based on fully supervised learning models …

In this paper, we propose Recurrent Multi-Scale Feature Modulation (R-MSFM), a new deep
network architecture for self-supervised monocular depth estimation. R-MSFM extracts per …

A key aspect of robotics today is estimating the state (eg, position and orientation) of a robot,
based on noisy sensor data. This book targets students and practitioners of robotics by …

Planning algorithms are impacting technical disciplines and industries around the world,
including robotics, computer-aided design, manufacturing, computer graphics, aerospace …

We exploit the complementary strengths of vision and proprioception to develop a point-goal
navigation system for legged robots, called VP-Nav. Legged systems are capable of …

We demonstrate a system built using probabilistic techniques that allows for remarkably
accurate localization across our entire office building using nothing more than the built-in …

This chapter starts with an overview and classification of robots: industrial robots,
autonomous mobile robots, humanoid robots and educational robots. A specification is …

The world market of mobile robotics is expected to increase substantially in the next 20 yr,
surpassing the market of industrial robotics in terms of units and sales. Important fields of …