Algorithmic Foundations of Robotics IX by David Hsu
Robotics is at the cusp of dramatic transformation. Increasingly complex robots with unprecedented autonomy are finding new applications, from medical surgery, to construction, to home services. Against this background, the algorithmic foundations of robotics are becoming more crucial than ever, in order to build robots that are fast, safe, reliable, and adaptive. Algorithms enable robots to perceive, plan, control, and learn. The design and analysis of robot algorithms raise new fundamental questions that span computer science, electrical engineering, mechanical engineering, and mathematics. These algorithms are also finding applications beyond robotics, for example, in modeling molecular motion and creating digital characters for video games and architectural simulation. The Workshop on Algorithmic Foundations of Robotics (WAFR) is a highly selective meeting of leading researchers in the field of robot algorithms. Since its creation in 1994, it has published some of the field's most important and lasting contributions. This book contains the proceedings of the 9th WAFR, held on December 13-15, 2010 at the National University of Singapore. The 24 papers included in this book span a wide variety of topics from new theoretical insights to novel applications.-
Robotics, Vision and Control
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Comparative Performance of US Econometric Models
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Robotics Research
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Ergonomics in Robotics: Advances and Innovations
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Applied Guidance Methodologies for Off-road Vehicles
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Robot Dynamic Manipulation
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Reinforcement Learning of Bimanual Robot Skills
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Shoaling with Fish: Using Miniature Robotic Agents to Close the Interaction Loop with Groups of Zebrafish Danio rerio
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Wording Robotics
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Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices
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Distributed Autonomous Robotic Systems
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Self-Organizing Robots
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Structure from Motion using the Extended Kalman Filter
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Visual Perception and Robotic Manipulation
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Stochastic Reactive Distributed Robotic Systems
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Software Engineering for Experimental Robotics
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Type Synthesis of Parallel Mechanisms
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Cable-Driven Parallel Robots
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Delft Pneumatic Bipeds
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Incremental Learning for Motion Prediction of Pedestrians and Vehicles
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Musical Robots and Interactive Multimodal Systems
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Learning Motor Skills
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FastSLAM
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The DARPA Urban Challenge
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Random Finite Sets for Robot Mapping & SLAM
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Multiple Heterogeneous Unmanned Aerial Vehicles
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The Human Hand as an Inspiration for Robot Hand Development
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Algorithmic Foundations of Robotics VIII
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Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
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Experimental Robotics IX
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Robotic Systems for Handling and Assembly
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Advances in Robotics Research: From Lab to Market
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Analysis and Synthesis of Compliant Parallel MechanismsScrew Theory Approach
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Cells and Robots
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Visual Guidance of Unmanned Aerial Manipulators
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Exoskeletons in Rehabilitation Robotics
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The DARPA Robotics Challenge Finals: Humanoid Robots To The Rescue
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Efficient Topology Estimation for Large Scale Optical Mapping
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Field and Service Robotics
| SKU | Unavailable |
| ISBN 13 | 9783642174513 |
| ISBN 10 | 3642174515 |
| Title | Algorithmic Foundations of Robotics IX |
| Author | David Hsu |
| Series | Springer Tracts In Advanced Robotics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2010-12-03 |
| Number of pages | 428 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |