Search

This book contains the proceedings of the 11th FSR (Field and Service Robotics), which is the leading single-track conference on applications of robotics in challenging environments. This conference was held in Zurich, Switzerland from 12-15 September 2017. The book contains 45 full-length, peer-reviewed papers organized into a variety of topics: Control, Computer Vision, Inspection, Machine Learning, Mapping, Navigation and Planning, and Systems and Tools. The goal of the book and the conference is to report and encourage the development and experimental evaluation of field and service robots, and to generate a vibrant exchange and discussion in the community. Field robots are non-factory robots, typically mobile, that operate in complex and dynamic environments: on the ground (Earth or other planets), under the ground, underwater, in the air or in space. Service robots are those that work closely with humans to help them with their lives. The first FSR was held in Canberra, Australia, in 1997. Since that first meeting, FSR has been held roughly every two years, cycling through Asia, Americas, and Europe.

Tells the story of a laser technology that will have a big impact on society and the brilliant innovators responsible for its developmentLidar--a technology evolved from radar, but using laser light rather than microwaves--has found an astounding range of applications, none more prominent than its crucial role in enabling self-driving cars. This accessible introduction to a fascinating and increasingly vital technology focuses on the engaging human stories of lidar's innovators as they advance and adapt it to better understand air, water, ice and Earth - not to mention mapping Mars and Mercury, spotting incoming nuclear warheads, and avoiding pedestrians and cyclists on city streets.Award-winning science writer Todd Neff invites readers behind the scenes to meet some of the great innovators who have explored and expanded the uses of this amazing technology: people like MIT scientist Louis Smullin, whose lidar bounced light off the moon soon after the laser's invention; Allan Carswell, who plumbed the shallows of Lake Erie en route to developing the aerial lidar now essential for coastal mapping and hurricane damage assessment; Red Whittaker, the field robotics pioneer who was putting lidar on his autonomous contraptions as early as the 1980s; and David Hall, whose laser sombrero on a Toyota Tundra gave birth to modern automotive lidar.These are just some of the stories Neff tells before looking ahead to a future that could bring lidar to unpiloted air taxis, to the contaminated pipes of the U.S. nuclear weapons complex, and to satellites capable of pinpointing greenhouse gas sources from orbit. As the author makes clear, the sky is no limit with lidar, which promises to make our world safer, healthier, and vastly more interesting.

FSR, the International Conference on Field and Service Robotics, is the leading single track conference of robotics for field and service applications. This book presents the results of FSR2012, the eighth conference of Field and Service Robotics, which was originally planned for 2011 with the venue of Matsushima in Tohoku region of Japan. However, on March 11, 2011, a magnitude M9.0 earthquake occurred off the Pacific coast of Tohoku, and a large-scale disaster was caused by the Tsunami which resulted, therefore the conference was postponed by one year to July, 2012. In fact, this earthquake raised issues concerning the contribution of field and service robotics technology to emergency scenarios. A number of precious lessons were learned from operation of robots in the resulting, very real and challenging, disaster environments. Up-to-date study on disaster response, relief and recovery was then featured in the conference. This book offers 43 papers on a broad range of topics including: Disaster Response, Service/Entertainment Robots, Inspection/Maintenance Robots, Mobile Robot Navigation, Agricultural Robots, Robots for Excavation, Planetary Exploration, Large Area Mapping, SLAM for Outdoor Robots, and Elemental Technology for Mobile Robots.

Robotics is undergoing a major transformation in scope and dimension. From a largely dominant industrial focus, robotics is rapidly expanding into human en- ronments and vigorously engaged in its new challenges. Interacting with, assi- ing, serving, and exploring with humans, the emerging robots will increasingly touch people and their lives. Beyond its impact on physical robots, the body of knowledge robotics has p- duced is revealing a much wider range of applications reaching across diverse research areas and scientific disciplines, such as: biomechanics, haptics, neuros- ences, virtual simulation, animation, surgery, and sensor networks among others. In return, the challenges of the new emerging areas are proving an abundant source of stimulation and insights for the field of robotics. It is indeed at the int- section of disciplines that the most striking advances happen. The Springer Tracts in Advanced Robotics (STAR) is devoted to bringing to the research community the latest advances in the robotics field on the basis of their significance and quality. Through a wide and timely dissemination of critical - search developments in robotics, our objective with this series is to promote more exchanges and collaborations among the researchers in the community and c- tribute to further advancements in this rapidly growing field.

The main goal when operating a vehicle is to safely participate in road-traffic while minimising the adverse effects on our environment. This goal is pursued by road safety measures ranging from safety-oriented road design to driver assistance systems. The latter require exteroceptive sensors to acquire information about the vehicle‘s current environment. In this thesis an efficient resource allocation algorithm for automotive vision systems is proposed. The novel system architecture is shown to efficiently allocate both high-resolution sensor resources and computational expensive processes based upon low-resolution sensor data. The Pareto efficient decision making process used for resource allocation is formalised, implemented, and evaluated using road traffic test sequences acquired by a multi-modal sensor system on a test vehicle provided by AUDI AG.