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{ "item_title" : "The Hand-Eye-Brain System of Intelligent Robot", "item_author" : [" Hong Qiao", "Chao Ma", "Rui Li "], "item_description" : "Introduction.- The Concept of Attractive Region in Environment (ARIE) and its Application in High-precision Tasks with Low-precision Systems.- The Compliance of Robotic Hands and Human-inspired Motion Model of Upper-limb with Fast Response and Learning Ability.- Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking.- Explicit Nonlinear Mapping for Manifold Learning with Neighborhood preserving polynomial embedding.- Biologically Inspired Visual Model with Memory and Association Mechanism.- Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment.- Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning.- Conclusions and Future Research Directions.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/163/574/9811635749_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
The Hand-Eye-Brain System of Intelligent Robot|Hong Qiao

The Hand-Eye-Brain System of Intelligent Robot : From Interdisciplinary Perspective of Information Science and Neuroscience

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Overview

Introduction.- The Concept of "Attractive Region in Environment (ARIE)" and its Application in High-precision Tasks with Low-precision Systems.- The Compliance of Robotic Hands and Human-inspired Motion Model of Upper-limb with Fast Response and Learning Ability.- Learning an Intrinsic-Variable Preserving Manifold for Dynamic Visual Tracking.- Explicit Nonlinear Mapping for Manifold Learning with Neighborhood preserving polynomial embedding.- Biologically Inspired Visual Model with Memory and Association Mechanism.- Biologically Inspired Visual Model with Preliminary Cognition and Active Attention Adjustment.- Biologically Inspired Visual Cognition Model with Unsupervised Episodic and Semantic Feature Learning.- Conclusions and Future Research Directions.

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Details

  • ISBN-13: 9789811635748
  • ISBN-10: 9811635749
  • Publisher: Springer
  • Publish Date: August 2021
  • Dimensions: 9.21 x 6.14 x 0.5 inches
  • Shipping Weight: 0.99 pounds
  • Page Count: 178

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