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• Introduction.- Rough-Terrain Modeling.- Rough-Terrain Motion Planning.- Rough-Terrain Control.- Conclusions and Suggestions for Future Work.
• (source: Nielsen Book Data)

This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Rough terrain robotics is becoming increasingly important in space exploration, and industrial applications. However, most current motion planning and control algorithms are not well suited to rough terrain mobility, since they do not consider the physical characteristics of the rover and its environment. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation; rough terrain motion planning; articulated suspension control; and traction control. Simulation and experimental results are presented that show that the desribed algorithms lead to improved mobility for robotic systems in rough terrain.
(source: Nielsen Book Data)

• On the nature of human romantic interaction
• The phrenologist's dream
• Zilkowski's theorem
• The confessional approach
• The Indian agent
• Kingdom, order, species
• The ore miner's wife
• Children of hunger.

• Cornell University's 2005 DARPA Grand Challenge Entry.- SciAutonics - Auburn Engineering's Low Cost, High Speed ATV for the 2005 DARPA Grand Challenge.- The Golem Group / UCLA Autonomous Ground Vehicle in the DARPA Grand Challenge.- Team CIMAR's NaviGATOR: An Unmanned Ground Vehicle for Application to the 2005 DARPA Grand Challenge.- A Robust Approach to High-Speed Navigation for Unrehearsed Desert Terrain.- KAT
• -5: Robust systems for autonomous vehicle navigation in challenging and unknown terrain.- CajunBot: Architecture and Algorithms.- The Winning Robot Stanley.- The TerraMax Autonomous Vehicle.- Virginia Tech's Twin Contenders: A Comparative Study of Reactive and Deliberative Navigation.- Intelligent Off-road Navigation Algorithms and Strategies of Team Desert Buckeyes in the DARPA Grand Challenge '05.- Prospect Eleven: Princeton University's Entry in the 2005 DARPA Grand Challenge.- Cornell University's 2005 DARPA Grand Challenge Entry.- Alice: An Information-Rich Autonomous Vehicle for High-Speed Desert Navigation.- MITRE Meteor: An Off-Road Autonomous Vehicle for DARPA's Grand Challenge.
• (source: Nielsen Book Data)

The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough, cross-country Nevada terrain that showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005, and drew teams of competitors from academia and industry, and many garage hobbyists. This book presents fifteen technical papers that are written at a level that makes them easily accessible to a broad technical audience, describing the technology behind most of the robotic vehicles that participated in this famous race. The papers describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology, and offer a glimpse of future technology for tomorrow's driverless cars. This book will serve as an authoritative, archival source for the DARPA Grand Challenge and a 'must have' for robotics students and researchers, since it describes the state of the art in perception, planning and control.
(source: Nielsen Book Data)

• Autonomous Driving in Urban Environments: Boss and the Urban Challenge.- Motion Planning in Urban Environments.- Junior: The Stanford Entry in the Urban Challenge.- Odin: Team VictorTango's Entry in the DARPA Urban Challenge.- A Perception-Driven Autonomous Urban Vehicle.- Little Ben: The Ben Franklin Racing Team's Entry in the 2007 DARPA Urban Challenge.- Team Cornell's Skynet: Robust Perception and Planning in an Urban Environment.- A Practical Approach to Robotic Design for the DARPA Urban Challenge.- Team AnnieWAY's Autonomous System for the DARPA Urban Challenge 2007.- Driving with Tentacles - Integral Structures for Sensing and Motion.- Caroline: An Autonomously Driving Vehicle for Urban Environments.- The MIT
• Cornell Collision and Why It Happened.- A Perspective on Emerging Automotive Safety Applications, Derived from Lessons Learned through Participation in the DARPA Grand Challenges.- TerraMax: Team Oshkosh Urban Robot.
• (source: Nielsen Book Data)

This volume, edited by Martin Buehler, Karl Iagnemma and Sanjiv Singh, presents a unique and comprehensive collection of the scientific results obtained by finalist teams that participated in the DARPA Urban Challenge in November 2007, in the mock city environment of the George Air Force base in Victorville, California. This book is the companion of a previous volume by the same editors which was devoted to the Grand Challenge, which took place in the Nevada desert during October 2005, and was the second in the series of autonomous vehicle races sponsored by DARPA. The Urban Challenge demonstrated how cutting-edge perception, control, and motion planning techniques can allow intelligent autonomous vehicles not only to travel significant distances in off-road terrain, but also to operate in urban scenarios. Beyond the value for future military applications--which motivated DARPA to sponsor the race--the expected impact in the commercial sector for automotive manufacturers is equally, if not more, important: autonomous sensing and control constitute key technologies for vehicles of the future, and might help save thousands of lives that are now lost in traffic accidents. As with the previous STAR volume, the original papers collected in this book were initially published in special issues of the Journal of Field Robotics. Our series is proud to collect them in an archival publication as a special STAR volume!

• The DARPA Robotics Challenge Finals: Results and Perspectives.- Robot System of DRC-HUBO+ and Control Strategy of Team KAIST in DARPA Robotics Challenge Finals.- Team IHMC's Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble.- Developing a Robust Disaster Response Robot: CHIMP and the Robotics Challenge.- DRC Team NimbRo Rescue: Perception and Control for Centaur-like Mobile Manipulation Robot Momaro.- Team RoboSimian: Semi-autonomous Mobile Manipulation at the 2015 DARPA Robotics Challenge Finals.- Director: A User Interface Designed for Robot Operation with Shared Autonomy.- Achieving Reliable Humanoid Robot Operations in the DARPA Robotics Challenge: Team WPI-CMU's Approach.- Team DRC-Hubo@UNLV in 2015 DARPA Robotics Challenge Finals.- Team SNU's Control Strategies to Enhancing Robot's Capability: Lessons from the DARPA Robotics Challenge Finals 2015.- Team THOR's Entry in the DARPA Robotics Challenge Finals 2015.- Collaborative Autonomy Between High-level Behaviors and Human Operators for Control of Complex Tasks with Different Humanoid Robots.- WALK-MAN Humanoid Platform.- An Architecture for Human-Guided Autonomy: Team TROOPER at the DARPA Robotics Challenge Finals.- Team VALOR's ESCHER: A Novel Electromechanical Biped for the DARPA Robotics Challenge.- Perspectives on Human-Robot Team Performance from an Evaluation of the DARPA Robotics Challenge.- What Happened at the DARPA Robotics Challenge Finals.
• (source: Nielsen Book Data)

The DARPA Robotics Challenge was a robotics competition that took place in Pomona, California USA in June 2015. The competition was the culmination of 33 months of demanding work by 23 teams and required humanoid robots to perform challenging locomotion and manipulation tasks in a mock disaster site. The challenge was conceived as a response to the Japanese Fukushima nuclear disaster of March 2011. The Fukushima disaster was seen as an ideal candidate for robotic intervention since the risk of exposure to radiation prevented human responders from accessing the site. This volume, edited by Matthew Spenko, Stephen Buerger, and Karl Iagnemma, includes commentary by the organizers, overall analysis of the results, and documentation of the technical efforts of 15 competing teams. The book provides an important record of the successes and failures involved in the DARPA Robotics Challenge and provides guidance for future needs to be addressed by policy makers, funding agencies, and the robotics research community. Many of the papers in this volume were initially published in a series of special issues of the Journal of Field Robotics. We have proudly collected versions of those papers in this STAR volume. .
(source: Nielsen Book Data)

• pt. 1. Mechanism design
• pt. 2. Perception and control
• pt. 3. Tracking and servoing
• pt. 4. Localization
• pt. 5. Mapping
• pt. 6. Underwater localization and mapping
• pt. 7. Multi-robot cooperation
• pt. 8. Human robot interaction
• pt. 9. Mining robotics
• pt. 10. Maritime robotics
• pt. 11. Planetary robotics.

The seventh edition of Field and Service Robotics, edited by Andrew Howard, Karl Iagnemma and Alonzo Kelly, offers an eleven chapter collection of a broad range of topics spanning: design, perception and control; tracking and sensing; localization and mapping; multi-robot cooperation and human-robot interaction; mining, maritime and planetary robotics. The volume's forty-five contributions represent a cross-section of the current state of robotics research from one particular aspect: field and service applications. Pursuing technologies aimed at realizing robots operating in complex and dynamic environments, as well as robots working closely with humans, is the overarching theme running throughout this collection.