Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Loading
Machine Learning and Robot Perception (Studies in Computational Intelligence)

Buy
This book presents some of the most recent research results in the area of machine learning and robot perception. The book contains eight chapters.

Relevant progress has been done, within the Robotics field, in mechanical systems, actuators, control and planning. This fact, allows a wide application of industrial robots, where manipulator arms, Cartesian robots, etc., widely outcomes human capacity. However, the achievement of a robust and reliable autonomous mobile robot, with ability to evolve and accomplish general tasks in unconstrained environments, is still far from accomplishment. This is due, mainly, because autonomous mobile robots suffer the limitations of nowadays perception systems. A robot has to perceive its environment in order to interact (move, find and manipulate objects, etc.) with it. Perception allows making an internal representation (model) of the environment, which has to be used for moving, avoiding collision, finding its position and its way to the target, and finding objects to manipulate them. Without a sufficient environment perception, the robot simply can’t make any secure displacement or interaction, even with extremely efficient motion or planning systems. The more unstructured an environment is, the most dependent the robot is on its sensorial system. The success of industrial robotics relies on rigidly controlled and planned environments, and a total control over robot’s position in every moment. But as the environment structure degree decreases, robot capacity gets limited.

Some kind of model environment has to be used to incorporate perceptions and taking control decisions. Historically, most mobile robots are based on a geometrical environment representation for navigation tasks. This facilitates path planning and reduces dependency on sensorial system, but forces to continuously monitor robot’s exact position, and needs precise environment modeling. The navigation problem is solved with odometryrelocalization, or with an external absolute localization system, but only in highly structured environments. Nevertheless, the human beings use a topological environment representation to achieve their amazing autonomous capacity. Here, environment is sparsely modeled by a series of identifiable objects or places and the spatial relations between them. Resultant models are suitable to be learned, instead of hard-coded. This is well suited for open and dynamic environments, but has a greater dependency on the perception system. Computer Vision is the most powerful and flexible sensor family available at the present moment. The combination of topological environment modeling and vision is the most promising selection for future autonomous robots. This implies the need for developing visual perception systems able to learn from the environment.
(HTML tags aren't allowed.)

Time Mastery: How Temporal Intelligence Will Make You A Stronger, More Effective Leader
Time Mastery: How Temporal Intelligence Will Make You A Stronger, More Effective Leader
"To be most effective, leaders must move beyond time management to time mastery. Time managers are reliant on clocks and calendars; time masters develop an intuitive sense of timing. Time managers see time as a fixed, rigid constant; time masters view it as relative and malleable. Time masters have what John Clemens and Scott Dalrymple call...
Software Language Engineering: Third International Conference, SLE 2010
Software Language Engineering: Third International Conference, SLE 2010

We are pleased to present the proceedings of the third international conference on Software Language Engineering (SLE 2010). The conference was held in Eindhoven, the Netherlands during October 12–13, 2010. It was co-located with the ninth international conference on Generative Programming and Component Engineering (GPCE) and the...

Billions & Billions: Thoughts on Life and Death at the Brink of the Millennium
Billions & Billions: Thoughts on Life and Death at the Brink of the Millennium

In the final book of his astonishing career, Carl Sagan brilliantly examines the burning questions of our lives, our world, and the universe around us. These luminous, entertaining essays travel both the vastness of the cosmos and the intimacy of the human mind, posing such fascinating questions as how did the universe originate and how will...


Design, Measurement and Management of Large-Scale IP Networks: Bridging the Gap Between Theory and Practice
Design, Measurement and Management of Large-Scale IP Networks: Bridging the Gap Between Theory and Practice
Designing efficient Internet Protocol (IP) networks and maintaining them effectively poses a range of challenges, but in this highly competitive industry it is crucial that these are overcome. Weaving together theory and practice, this title sets out the design and management principles of large-scale IP networks, and the need for tasks to be...
HTML5: The Missing Manual
HTML5: The Missing Manual

At first glance, you might assume that HTML5 is the fifth version of the HTML web-page-writing language. But the real story is a whole lot messier.

HTML5 is a rebel. It was dreamt up by a loose group of freethinkers who weren’t in charge of the official HTML standard. It allows page-writing practices that...

Digital Audio Broadcasting: Principles and Applications of Digital Radio
Digital Audio Broadcasting: Principles and Applications of Digital Radio
The new digital radio system Digital Audio Broadcasting (DAB) nowadays often called Digital Radio is a very innovative and universal multimedia broadcast system which will replace the existing AM and FM audio broadcast services in many parts of the world in the near future. DAB is well suited for mobile reception and provides very high...
©2015 LearnIT (support@pdfchm.net) - Privacy Policy