Autonomous Mobile Robots: Sensing, Control, Decision Making by Shuzhi Sam Ge

By Shuzhi Sam Ge

It has lengthy been the objective of engineers to strengthen instruments that increase our skill to do paintings, raise our caliber of existence, or practice projects which are both past our skill, too dangerous, or too tedious to be left to human efforts. self sufficient cellular robots are the end result of many years of study and improvement, and their strength is apparently unlimited.

Roadmap to the Future
Serving because the first complete reference in this interdisciplinary expertise, self sufficient cellular Robots: Sensing, regulate, determination Making, and purposes authoritatively addresses the theoretical, technical, and functional features of the sector. The publication examines intimately the major elements that shape an self sustaining cellular robotic, from sensors and sensor fusion to modeling and keep an eye on, map development and course making plans, and choice making and autonomy, and to the ultimate integration of those parts for different applications.

Trusted Guidance
A duo of complete specialists leads a crew of popular foreign researchers and pros who supply exact technical reports and the most recent recommendations to various very important difficulties. They percentage hard-won perception into the sensible implementation and integration matters curious about constructing self sustaining and open robot platforms, besides in-depth examples, present and destiny purposes, and wide illustrations.

For somebody desirous about gaining knowledge of, designing, or deploying self reliant robot structures, self sustaining cellular Robots is the fitting source.

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Extra info for Autonomous Mobile Robots: Sensing, Control, Decision Making and Applications

Sample text

8 RADAR-Based Augmented State Vector. . . . . . . . . . . . . . . 1 Process Model . . . . . . . . . .

6 Sensor Fusion The most important task of a VGS is to provide accurate terrain descriptions for the path planner. The quality of terrain maps is assessed by miss rate and false alarm. Here, the miss rate refers to the occurrence frequency of missing a true obstacle while a false alarm is when the VGS classifies a traversable region as an obstacle region. Imaging a stereo vision system with a frame rate of 10 Hz will generate 3000 obstacle maps in 5 min. 9%, the system may produce an erroneous obstacle map three times of which may cause an error in path planning.

Constant False Alarm Rate Processor for True Target Range Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 The Effect of the High Pass Filter on CFAR . . . . . . . . . 1 Missed detections with CFAR . . . . . . . . . . . 2 False alarms with CFAR . . . . . . . . . . . . . . Target Presence Probability Estimation for True Target Range Detection . . . . . . . . . . . . .

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