
New Development in Robot Vision by Yu Sun
The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision.
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Visual Perception for Manipulation and Imitation in Humanoid Robots
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Symbiotic Multi-Robot Organisms
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Space-Time Continuous Models of Swarm Robotic Systems
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Cognitive Systems
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Human Centered Robot Systems
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Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots
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Prosopagnosia
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Abductive Cognition
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Visual Perception for Humanoid Robots
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Consensual Illusion: The Mind in Virtual Reality
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The Psychology of Artificial Superintelligence
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Multimodal Computational Attention for Scene Understanding and Robotics
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Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots
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Anticipation Across Disciplines
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Knowledge Representations for Planning Manipulation Tasks
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Advances in Cognitive Information Systems
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Metrics of Sensory Motor Coordination and Integration in Robots and Animals
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From Robot to Human Grasping Simulation
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The Playful Machine
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Animation and Performance Capture Using Digitized Models
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The Evolved Athlete: A Guide for Elite Sport Enhancement
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Eco-Cognitive Computationalism
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Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems
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Complex Sports Biodynamics
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Advances in Neuromorphic Hardware Exploiting Emerging Nanoscale Devices
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Paradigm Shift for Future Tennis
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Enhancing Performance and Reducing Stress in Sports: Technological Advances
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Epigenetics and Anticipation
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Tactile Perception of Textiles in a Virtual-Reality System
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From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition
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Spatial Temporal Patterns for Action-Oriented Perception in Roving Robots II
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Modeling, Simulation and Optimization of Bipedal Walking
| SKU | Unavailable |
| ISBN 13 | 9783662522738 |
| ISBN 10 | 366252273X |
| Title | New Development in Robot Vision |
| Author | Yu Sun |
| Series | Cognitive Systems Monographs |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2016-09-10 |
| Number of pages | 199 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































