↓ Skip to main content
What is this page? Embed badge

Bio-Inspired Self-Organizing Robotic Systems

Overview of attention for book
Cover of 'Bio-Inspired Self-Organizing Robotic Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Morphogenetic Robotics - An Evolutionary Developmental Approach to Morphological and Neural Self-Organization of Robotic Systems
  3. Altmetric Badge
    Chapter 2 How to Engineer Robotic Organisms and Swarms?
  4. Altmetric Badge
    Chapter 3 Flocking Control Algorithms for Multiple Agents in Cluttered and Noisy Environments
  5. Altmetric Badge
    Chapter 4 Genetic Stigmergy
  6. Altmetric Badge
    Chapter 5 From Ants to Robots and Back: How Robotics Can Contribute to the Study of Collective Animal Behavior
  7. Altmetric Badge
    Chapter 6 On Self-Optimized Self-Assembling of Heterogeneous Multi-robot Organisms
  8. Altmetric Badge
    Chapter 7 Morphogenetic Self-Reconfiguration of Modular Robots
  9. Altmetric Badge
    Chapter 8 Basic Problems in Self-Assembling Robots and a Case Study of Segregation on Tribolon Platform
  10. Altmetric Badge
    Chapter 9 Brain Like Temporal Processing
  11. Altmetric Badge
    Chapter 10 Towards Physarum Robots
  12. Altmetric Badge
    Chapter 11 Developing Self-Organizing Robotic Cells Using Organic Computing Principles
Attention for Chapter 7: Morphogenetic Self-Reconfiguration of Modular Robots
Altmetric Badge

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
7 Mendeley
Summary Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Morphogenetic Self-Reconfiguration of Modular Robots
Chapter number 7
Book title
Bio-Inspired Self-Organizing Robotic Systems
Published by
Springer Berlin Heidelberg, January 2011
DOI 10.1007/978-3-642-20760-0_7
Book ISBNs
978-3-64-220759-4, 978-3-64-220760-0
Authors

Yan Meng, Yaochu Jin

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor 3 43%
Student > Ph. D. Student 2 29%
Unknown 2 29%
Readers by discipline Count As %
Computer Science 3 43%
Engineering 2 29%
Unknown 2 29%

This page is provided by Altmetric.