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• Efficient Multi-Robot Motion Planning for Unlabeled Discs in Simple Polygons.- Navigation of Distinct Euclidean Particles via Hierarchical Clustering.- Coalition Formation Games for Dynamic Multirobot Tasks.- Active Control Strategies for Discovering And Localizing Devices with Range-Only Sensors.- Aggressive Moving Obstacle Avoidance Using a Stochastic Reachable Set Based Potential Field.- Distributed Range-Based Relative Localization of Robot.- Computing Large Convex Regions of Obstacle-Free Space through Semidefinite Programming.- A Region-Based Strategy for Collaborative Roadmap Construction.- Efficient Sampling-based Approaches to Optimal Path Planning in Complex Cost Spaces.- Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions.- FFRob: An efficient heuristic for task and motion planning.- Fast Nearest Neighbor Search in SE(3) for Sampling-Based Motion Planning.- Trackability with Imprecise Localization.- Kinodynamic RRTs with Fixed Time Step and Best-Input Extension are not Probabilistically Complete.-Featureless Motion Vector-based Simultaneous Localization, Planar Surface Extraction, and Moving Obstacle Tracking.- Sparse Methods for Efficient Asymptotically Optimal KinodynamicPlanning.- Adaptive Informative Path Planning in Metric Spaces.- The Feasible Transition Graph: Encoding Topology and Manipulation Constraints for Multirobot Push-Planning.- Predict Collision Among Rigid and Articulated Obstacles with Unknown Motion.- Asymptotically Optimal Stochastic Motion Planning with Temporal Goals.- Resolution-Exact Algorithms for Link Robots.- Optimal Trajectories for Planar Rigid Bodies with Switching Costs.- Maximum-Reward Motion in a Stochastic Environment: The Nonequilibrium Statistical Mechanics Perspective.- Optimal Path Planning in Cooperative Heterogeneous Multi-robot Delivery Systems.- Composing Dynamical Systems to Realize Dynamic Robotic Dancing.-The Lion and Man Game on Convex Terrains.- RRT-X: Real-Time Motion Planning/Replanning for Environments with Unpredictable Obstacles.- Orienting Parts with Shape Variation.- Smooth and Dynamically Stable Navigation of Multiple Human-Like Robots.- Scaling up Gaussian Belief Space Planning through Covariance-Free Trajectory Optimization and Automatic Differentiation.- Planning Curvature and Torsion Constrained Ribbons in 3D with Application to Intracavitary Brachytherapy.- A Quadratic Programming Approach to Quasi-Static Whole-Body Manipulation.- On-Line Coverage of Planar Environments by a Battery Powered Autonomous Mobile Robot.- Finding a needle in an exponential haystack: Discrete RRT for Exploration of Implicit Roadmaps in Multi-Robot Motion Planning.- Stochastic Extended LQR: Optimization-Based Motion Planning Under Uncertainty.- An Approximation Algorithm for Time Optimal Multi-Robot Routing Decidability of Robot Manipulation Planning: Three Disks in the Plane.- A Topological Perspective on Cycling Robots for Full Tree Coverage.- Towards arranging and tightening knots and unknots with fixtures.- Asymptotically Optimal Feedback Planning: FMM Meets Adaptive Mesh Refinement.- Online Task Planning and Control for Aerial Robots with Fuel Constraints in Winds.-Pebble Motion on Graphs with Rotations: Efficient Feasibility Tests and Planning Algorithms.
• (source: Nielsen Book Data)

This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics. The eleventh WAFR, which was held August 3-5, 2014 at Bogazici University in Istanbul, Turkey continued this tradition. This volume contains extended versions of the 42 papers presented at WAFR. These contributions highlight the cutting edge research in classical robotics problems (e.g. manipulation, motion, path, multi-robot and kinodynamic planning), geometric and topological computation in robotics as well novel applications such as informative path planning, active sensing and surgical planning. This book - rich by topics and authoritative contributors - is a unique reference on the current developments and new directions in the field of algorithmic foundations.
(source: Nielsen Book Data)

• Part 1: Preparing for the Future of Work
• Chapter 1: Will Robots Replace You?
• Chapter 2: Technology Definitions
• Part 2: Robots are Working
• Chapter 3: Robotic Process Automation
• Chapter 4: Robots in Teams
• Chapter 5: Robots Without Arms
• Part 3: Making Sense for Robots and Society
• Chapter 6: Robots in a World of Data
• Chapter 7: Robots in Society
• Chapter 8: Work in the Future.

Understand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future. Rapid advances in automation and robotics technologies are often reported in the trade and general media, often relying on scary headlines such as "Jobs Lost to Robots." It is certainly true that work will change with the advent of smarter and faster automated workers; however, the scope and scale of the changes is still unknown. Automation may seem to be here already, but we are only at the early stages. Automation and Collaborative Robotics explores the output of current research projects that are improving the building blocks of an automated world. Research into collaborative robotics (cobotics) is merging digital, audio, and visual data to generate a commonly held view between cobots and their human collaborators. Low-power machine learning at the edge of the network can deliver decision making on cobots or to their manipulations. Topics covered in this book include: Robotic process automation, chatbots, and their impact in the near future The hype of automation and headlines leading to concerns over the future of work Component technologies that are still in the research labs Foundational technologies and collaboration that will enable many tasks to be automated with human workers being re-skilled and displaced rather than replaced What You Will Learn Be aware of the technologies currently being researched to improve or deliver automation Understand the impact of robotics, other automation technologies, and the impact of AI on automation Get an idea of how far we are from implementation of an automated future Know what work will look like in the future with the deployment of these technologies Who This Book Is For Technical and business managers interested in the future of automation and robotics, and the impact it will have on their organizations, customers, and the business world in general.
(source: Nielsen Book Data)

• pt. I. Technology. Robust layered control system for a mobile robot
• Robot that walks: emergent behaviors from a carefully evolved network
• Learning a distributed map representation based on navigation behaviors
• New approaches to robotics. pt. II. Philosophy. Intelligence without representation
• Planning is just a way of avoiding figuring out what to do next
• Elephants don't play chess
• Intelligence without reason.

Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling of perception and action. In this traditional model, cognition mediates between perception and plans of action. Realizing that this core AI, as it was known, was illusory, Rodney A. Brooks turned the field of AI on its head by introducing the behavior-based approach to robotics. The cornerstone of behavior-based robotics is the realization that the coupling of perception and action gives rise to all the power of intelligence and that cognition is only in the eye of an observer. Behavior-based robotics has been the basis of successful applications in entertainment, service industries, agriculture, mining, and the home. It has given rise to both autonomous mobile robots and more recent humanoid robots such as Brooks' Cog. This book represents Brooks' initial formulation of and contributions to the development of the behavior-based approach to robotics. It presents all of the key philosophical and technical ideas that put this "bottom-up" approach at the forefront of current research in not only AI but all of cognitive science.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Clusters and robots
• 3. Cluster programming
• 4. Robot motion
• 5. Sensors
• 6. Mapping and localization
• 7. Vision and tracking
• 8. Learning landmarks
• 9. Robot architectures
• Appendix I: Summary of OpenMPI man page for mpirun
• Appendix II: MPI datatypes
• Appendix III: MPI reduction operations
• Appendix IV: MPI application programmer interface.

In this book, we look at how cluster technology can be leveraged to build better robots. Algorithms and approaches in key areas of robotics and computer vision, such as map building, target tracking, action selection and landmark learning, are reviewed and cluster implementations for these are presented.The objective of the book is to give professionals working in the beowulf cluster or robotics and computer vision fields a concrete view of the strong synergy between the areas as well as to spur further fruitful exploitation of this connection. The book is written at a level appropriate for an advanced undergraduate or graduate student. The key concepts in robotics, computer vision and cluster computing are introduced before being used to make the text useful to a wide audience in these fields.
(source: Nielsen Book Data)

• Cognitive Systems Introduction.- Component Science.- Architecture and Representations.- The Sensorimotor Approach in CoSy: The Example of Dimensionality Reduction.- Categorical Perception.- Semantic Modelling of Space.- Planning and Failure Detection.- Multi-modal Learning.- Situated Dialogue Processing for Human-Robot Interaction.- Integration and Systems.- The PlayMate System.- The Explorer System.- Lessons Learnt from Scenario-Based Integration.- Summary and Outlook.- Cross-Disciplinary Reflections: Philosophical Robotics.- Lessons and Outlook.
• (source: Nielsen Book Data)

Design of cognitive systems for assistance to people poses a major challenge to the fields of robotics and artificial intelligence. The Cognitive Systems for Cognitive Assistance (CoSy) project was organized to address the issues of i) theoretical progress on design of cognitive systems ii) methods for implementation of systems and iii) empirical studies to further understand the use and interaction with such systems. To study, design and deploy cognitive systems there is a need to considers aspects of systems design, embodiment, perception, planning and error recovery, spatial insertion, knowledge acquisition and machine learning, dialog design and human robot interaction and systems integration. The CoSy project addressed all of these aspects over a period of four years and across two different domains of application - exploration of space and task / knowledge acquisition for manipulation. The present volume documents the results of the CoSy project. The CoSy project was funded by the European Commission as part of the Cognitive Systems Program within the 6th Framework Program.
(source: Nielsen Book Data)

• Introduction Rational Agents Strategic Games Coordination Partial Observability Mechanism Design Learning.
• (source: Nielsen Book Data)

Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
(source: Nielsen Book Data)

• Part I. Multi-Robots Systems
• Part II. Data Fusion, Localization and Mapping
• Part III. Security and Dependability
• Part IV. Mobility.

This book compiles some of the latest research in cooperation between robots and sensor networks. Structured in twelve chapters, this book addresses fundamental, theoretical, implementation and experimentation issues. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.

• 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)

• Locomotion.- Haptics.- Manipulation.- Perception.- Human-Robot Interaction.- Mapping and Localization.- Mechanisms.- Perception and Planning.- Sensor Networks.- Many-Robot Systems.- Interactive Presentations.- Plenary Talk.
• (source: Nielsen Book Data)

The International Symposium on Experimental Robotics (ISER) is a series of bi-annual meetings which are organized in a rotating fashion around North America, Europe and Asia/Oceania. The goal of ISER is to provide a forum for research in robotics that focuses on novelty of theoretical contributions validated by experimental results. The meetings are conceived to bring together, in a small group setting, researchers from around the world who are in the forefront of experimental robotics research. This unique reference presents the latest advances across the various fields of robotics, with ideas that are not only conceived conceptually but also explored experimentally. It collects robotics contributions on the current developments and new directions in the field of experimental robotics, which are based on the papers presented at the 14th ISER held on June 15-18, 2014 in Marrakech and Essaouira, Morocco. This present fourteenth edition of Experimental Robotics edited by M. Ani Hsieh, Oussama Khatib, and Vijay Kumar offers a collection of a broad range of topics in field and human-ce ntered robotics.
(source: Nielsen Book Data)

• Intro; Preface; Organisation; Contents; Circumnutation: From Plants to Robots; 1 Introduction; 2 Continuum and Tendril Robots; 3 Circumnutation with Robot Tendrils; 3.1 Discussion; 4 Conclusions; References; Using Marker-Based Motion Capture to Develop a Head Bobbing Robotic Lizard; 1 Introduction; 1.1 Motion Capture of Animals; 1.2 Head Bobbing in Lizards; 2 Methods; 2.1 Motion Capture; 2.2 Construction of the Robot; 3 Results; 4 Conclusion and Future Work; References; An Architecture for Pattern Recognition and Decision-Making; 1 Introduction; 2 Implementation; 2.1 Condition; 2.2 The Brain

• 3 Experimental Setup3.1 Images; 3.2 Audio Samples; 3.3 Training and Testing; 4 Results and Interpretation; 5 Conclusion; References; Follow Flee: A Contingent Mobility Strategy for the Spatial Prisoner's Dilemma; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 Environment and Agent Representation; 3.2 Movement Strategies; 3.3 Evolutionary Dynamics; 4 Experimental Results; 4.1 Experiment
• 1: Follow Flee and Walk Away vs. Naïve; 4.2 Experiment
• 2: Varying the Evolutionary Dynamics; 4.3 Experiment
• 3: Varying the Density; 4.4 Experiment
• 4: Walk Away vs. Follow Flee; 5 Conclusion; References

• Local Interaction of Agents for Division of Labor in Multi-agent Systems1 Introduction; 2 Social Interaction; 3 Proposed Task Allocation Algorithm; 4 Experiments; 4.1 Task Scenario; 4.2 Simulation Results; 5 Conclusion and Future Work; References; Rational Imitation for Robots; 1 Introduction; 2 The Cost Difference Model; 2.1 Rationale; 2.2 Formalization; 3 Methods; 4 Experiment
• 1: Modelling Experimental Findings; 5 Experiment
• 2: Learning Better Policies; 6 Discussion; References; Modular Neural Control for Object Transportation of a Bio-inspired Hexapod Robot; 1 Introduction

• 2 Modular Neural Control for Object Transportation2.1 Neural Oscillator Network (CPG); 2.2 Phase Switching Network (PSN); 2.3 Velocity Regulating Network (VRN); 2.4 Neural Control Parameters for Different Behavior Modes; 3 Experiments and Results; 4 Conclusion; References; An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking; 1 Introduction; 2 Background; 2.1 Lizard Peripheral Auditory System Model; 2.2 Input Correlation (ICO) Learning; 3 Materials and Methods; 3.1 The Adaptive Neural Architecture; 3.2 The Experimental Setup; 4 Results and Discussion

• 5 Conclusions and Future DirectionsReferences; Artificial Neural Network Based Compliant Control for Robot Arms; 1 Introduction; 2 Robot Arm Model; 3 Artificial Neural Network Based Compliant Control; 4 Simulation Results; 5 Conclusions; References; UESMANN: A Feed-Forward Network Capable of Learning Multiple Functions; 1 Background; 2 Motivation; 3 The UESMANN-BP Algorithm; 4 Methodology; 5 Experimental Results; 5.1 Logical Connectives; 6 The MNIST Database; 7 Training at Intermediate Modulation Values; 8 Conclusions and Further Work; References

This book constitutes the proceedings of the 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, held in Aberystwyth, UK, in August 2016. The 31 papers presented in this volume were carefully reviewed and selected from 45 submissions. They cover the main areas in animat research, including the animat approach and methodology, perception and motor control, learning and adaptation, evolution, and collective and social behavior.