In our second story, Chip, the little robot sees his friends playing on the beach and later surfing and he wants to join them so badly. But robots are made of metal and cannot get wet, or play in the sand. So his friend Tommy and pals come up with a plan that might allow him to surf. A children's picture book, about friendship, problem-solving, teamwork, and surfing, from a little robot's perspective

He called himself Zoot Marlowe, said he’d just blown in from Cay City, but even the wacked out surfer dudes could tell that the four-foot detective with the giant schnoz was from somewhere out of their world. Still, he could throw a mean frisbee and he said he was a private eye, and when someone decided to smash and trash all the surfing robots in Malibu just days before the biggest surfing contest of the year, Zoot was the only being around willing to track the bot beaters down. But Zoot didn’t know just how widespread a conspiracy he was about to run up against. For this first case of his Earthly career would see him taking on everything from the Malibu cops to Samurai robots; motorcycle madmen to talking gorillas; and a misplaced mistress of genetic manipulation! "Gilden proves that you can write first-rate humorous science fiction." —Science Fiction Chronicle

This book provides state of the art scientific and engineering research findings and developments in the area of mobile robotics and associated support technologies. The book contains peer reviewed articles presented at the CLAWAR 2011 conference. A great deal of interest is vested in the use of robots outside the factory environment. The CLAWAR conference series, established as a high profile international event, acts as a platform for dissemination of research and development findings and supports the trend to address current interest in mobile robotics to meet the needs of mankind in various segments of the society. Field robotics aims to bring technologies that allow autonomous systems to assist and/or replace humans performing tasks that are difficult, repetitive, unpleasant, or take place in hazardous environments. These robotic systems will bring sociological and economic benefits through improved human safety, increased equipment utilisation, reduced maintenance costs and increased production.

These volumes of "Advances in Intelligent Systems and Computing" highlight papers presented at the "Third Iberian Robotics Conference (ROBOT 2017)". Held from 22 to 24 November 2017 in Seville, Spain, the conference is a part of a series of conferences co-organized by SEIDROB (Spanish Society for Research and Development in Robotics) and SPR (Portuguese Society for Robotics). The conference is focused on Robotics scientific and technological activities in the Iberian Peninsula, although open to research and delegates from other countries. Thus, it has more than 500 authors from 21 countries. The volumes present scientific advances but also robotic industrial applications, looking to promote new collaborations between industry and academia.

This book constitutes the refereed proceedings of the Second International Conference, ICT Innovations 2010, held in Ohrid, Macedonia, in September 2010. The 33 revised papers presented together with 5 invited papers were carefully reviewed and selected. The papers address the following topics: internet applications and services, artificial intelligence, bioinformatics, internet, mobile and wireless technologies, multimedia information systems, computer networks, computer security, e-business, cryptography, high-performance-computing, social networks, e-government, as well as GPU computing.

This work brings together the insights of ten designers, researchers, and educators, each invited to contribute a chapter that relates his or her experience develping or using a children's robotic learning device. This growing area of endeavour is expected to have prodound and long-lasting effets on the ways children learn and develop, and its participants come from a wide range of backgrounds.

Two research issues motivate this work and distinguish it from approaches usually taken by information retrieval or machine learning researchers. First, a recommender system will have many users, with overlapping interests. How can this be exploited? Second, each edition of a personalized newspaper consists of a small set of articles. Techniques for deciding on the relevance of individual articles are well known, but how is the composition of the set determined?