Best-selling novelist (Why Girls Are Weird, You Take It from Here), animation writer (Moana, the Wreck-It Ralph sequel), and comics writer (Rick and Morty) Pamela Ribon and artist Veronica Fish (Archie, Silk, Spider-Woman) dive into the fast-paced, hard-hitting world of roller derby! Jennifer Chu and Maise Huff (aka Knockout and Ithinka Can on the track) have been best friends since their first day of Fresh Meat Orientation for the Eastside Roller Girls, but when they get drafted for two different teams they'll have to figure out if the bond between them is stronger than the pull of a team when a win is on the line. You get slammed on the track and slammed in life, and in both cases you have to take your hits and get back up again!

Anna is desperate to be popular, but the key to being cool has devastating consequences About to start her freshman year of high school, Anna wants more than anything to be popular. At a family reunion, her cousin describes a secret “slam book”—a notebook kids use to write all kinds of comments about one another. Anna decides this may be her key to success. Anna’s friends Paige, Randy, and Jessie quickly jump in on the nasty fun and before long, Anna has realized her dreams of popularity. But the slam book keeps getting meaner, and Paige and Anna start using the book to fight with each other. Soon, Anna comes up with the ultimate prank, using lonely and insecure Cheryl as her means to pull it off. But Anna’s vicious trick may lead to tragic consequences. This ebook features an illustrated personal history of Ann M. Martin, including rare images from the author’s collection.

Sixtee-year-old "Slam" Harris is counting on his noteworthy basketball talents to get him out of the inner city and give him a chance to succeed in life, but his coach sees things differently.

The monograph written by John Mullane, Ba-Ngu Vo, Martin Adams and Ba-Tuong Vo is devoted to the field of autonomous robot systems, which have been receiving a great deal of attention by the research community in the latest few years. The contents are focused on the problem of representing the environment and its uncertainty in terms of feature based maps. Random Finite Sets are adopted as the fundamental tool to represent a map, and a general framework is proposed for feature management, data association and state estimation. The approaches are tested in a number of experiments on both ground based and marine based facilities.

Knockout's conflict between family and derby comes to a head.

DING DING DING! Enter the wrestling ring in this all-new graphic novel from Wrapped Up creators Dave Scheidt and Scoot McMahon! The Agents of S.L.A.M. aren’t your average professional wrestlers. They’re led by the fearless and famous Bruno Bravado and work for the president of the United States to protect people from all kinds of threats—both on Earth and in space! And they’ve just been joined by their newest recruit, Katie Jones, a twelve-year-old wrestling vlogger who just might know more about wrestling than the wrestlers themselves. S.L.A.M. will need Katie’s knowledge and skills if they’re going to keep protecting Earth, especially when their toughest rival challenges them!

This monograph introduces a unifying framework for mapping, planning and exploration with mobile robots considering uncertainty, linking such problems with a common SLAM approach, adopting Pose SLAM as the basic state estimation machinery. Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and where landmarks are used to produce relative motion measurements between robot poses. With regards to extending the original Pose SLAM formulation, this monograph covers the study of such measurements when they are obtained with stereo cameras, develops the appropriate noise propagation models for such case, extends the Pose SLAM formulation to SE(3), introduces information-theoretic loop closure tests, and presents a technique to compute traversability maps from the 3D volumetric maps obtained with Pose SLAM. A relevant topic covered in this monograph is the introduction of a novel path planning approach that exploits the modeled uncertainties in Pose SLAM to search for the path in the pose graph that allows the robot to navigate to a given goal with the least probability of becoming lost. Another relevant topic is the introduction of an autonomous exploration method that selects the appropriate actions to drive the robot so as to maximize coverage, while minimizing localization and map uncertainties. This monograph is appropriate for readers interested in an information-theoretic unified perspective to the SLAM, path planning and exploration problems, and is a reference book for people who work in mobile robotics research in general.

This book offers a systematic and comprehensive introduction to the visual simultaneous localization and mapping (vSLAM) technology, which is a fundamental and essential component for many applications in robotics, wearable devices, and autonomous driving vehicles. The book starts from very basic mathematic background knowledge such as 3D rigid body geometry, the pinhole camera projection model, and nonlinear optimization techniques, before introducing readers to traditional computer vision topics like feature matching, optical flow, and bundle adjustment. The book employs a light writing style, instead of the rigorous yet dry approach that is common in academic literature. In addition, it includes a wealth of executable source code with increasing difficulty to help readers understand and use the practical techniques. The book can be used as a textbook for senior undergraduate or graduate students, or as reference material for researchers and engineers in related areas.