Kategoria BISAC: Technology & Engineering >> Robotics

The spread of robots in our armies, navies and air forces has greatly advanced the science,...

Rough terrain robotics is a fast evolving field of research and a lot of effort is deployed towards enabling a greater level of autonomy for outdoor vehicles. This book demonstrates how the accuracy of 3D position tracking can be improved by considering rover locomotion in rough terrain as a holistic problem. Although the selection of appropriate sensors is crucial to accurately track the rover's position, it is not the only aspect to consider. Indeed, the use of an unadapted locomotion concept severely affects the signal to noise ratio of the sensors, which leads to poor motion estimates....

The 2008 TUB-SJTU joint workshop on Autonomous Systems Self-Organization, Management, and Control was held on October 6, 2008 at Shanghai Jiao Tong University, Shanghai, China. The workshop, sponsored by Shanghai Jiao Tong University and Technical University of Berlin brought together scientists and researchers from both universities to present and discuss the latest progress on autonomous systems and its applications in diverse areas. Autonomous systems are designed to integrate machines, computing, sensing, and software to create intelligent systems capable of interacting with the...

Flying insects are intelligent micromachines capable of exquisite maneuvers in unpredictable environments. Understanding these systems advances our knowledge of flight control, sensor suites, and unsteady aerodynamics, which is of crucial interest to engineers developing intelligent flying robots or micro air vehicles (MAVs). The insights we gain when synthesizing bioinspired systems can in turn benefit the fields of neurophysiology, ethology and zoology by providing real-life tests of the proposed models.

This book was written by biologists and engineers leading the...

Focuses on acquiring spatial models of physical environments through mobile robots

The robotic mapping problem is commonly referred to as SLAM (simultaneous localization and mapping).

3D maps are necessary to avoid collisions with complex obstacles and to self-localize in six degrees of freedom (x-, y-, z-position, roll, yaw and pitch angle)

New solutions to the 6D SLAM problem for 3D laser scans are proposed and a wide variety of applications are presented