Evolvability in biologically inspired robotics: solutions for achieving open-ended evolution

2000 ◽  
Author(s):  
Chrystopher L. Nehaniv
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robotics

scholarly journals Self-Organization, Embodiment, and Biologically Inspired Robotics

Science ◽  
2007 ◽  
Vol 318 (5853) ◽  
pp. 1088-1093 ◽  
Author(s):  
R. Pfeifer ◽  
M. Lungarella ◽  
F. Iida
Keyword(s):  
Self Organization ◽  
Biologically Inspired ◽  
Biologically Inspired Robotics

scholarly journals Adaptation of sensor morphology: an integrative view of perception from biologically inspired robotics perspective

2016 ◽  
Vol 6 (4) ◽  
pp. 20160016 ◽  
Author(s):  
Fumiya Iida ◽  
Surya G. Nurzaman
Keyword(s):  
Literature Review ◽  
Sensory Information ◽  
Design Principles ◽  
Robotic Systems ◽  
Biologically Inspired ◽  
Biologically Inspired Robotics ◽  
Sensing Mechanism ◽  
Integrative View ◽  
Physical Stimuli

Sensor morphology, the morphology of a sensing mechanism which plays a role of shaping the desired response from physical stimuli from surroundings to generate signals usable as sensory information, is one of the key common aspects of sensing processes. This paper presents a structured review of researches on bioinspired sensor morphology implemented in robotic systems, and discusses the fundamental design principles. Based on literature review, we propose two key arguments: first, owing to its synthetic nature, biologically inspired robotics approach is a unique and powerful methodology to understand the role of sensor morphology and how it can evolve and adapt to its task and environment. Second, a consideration of an integrative view of perception by looking into multidisciplinary and overarching mechanisms of sensor morphology adaptation across biology and engineering enables us to extract relevant design principles that are important to extend our understanding of the unfinished concepts in sensing and perception.

Special issue on biologically inspired robotics

2014 ◽  
Vol 28 (5) ◽  
pp. 269-270
Author(s):  
Huosheng Hu ◽  
Shugen Ma ◽  
Hong Zhang
Keyword(s):  
Special Issue ◽  
Biologically Inspired ◽  
Biologically Inspired Robotics

A Project-Based Biologically-Inspired Robotics Module

2013 ◽  
Vol 56 (1) ◽  
pp. 82-87 ◽  
Author(s):  
Richard M. Crowder ◽  
Klaus-Peter Zauner
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robotics

scholarly journals Biologically Inspired Robotics 2016

2018 ◽  
Vol 2018 ◽  
pp. 1-2
Author(s):  
Liwei Shi ◽  
Maki Habib ◽  
Nan Xiao ◽  
Huosheng Hu
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robotics

scholarly journals Biologically Inspired Robotics

2015 ◽  
Vol 2015 ◽  
pp. 1-2 ◽  
Author(s):  
Liwei Shi ◽  
Maki K. Habib ◽  
Nan Xiao ◽  
Huosheng Hu
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robotics

scholarly journals Biologically inspired robotics

Scholarpedia ◽  
2009 ◽  
Vol 4 (4) ◽  
pp. 1531 ◽  
Author(s):  
Randall Beer
Keyword(s):  
Biologically Inspired ◽  
Biologically Inspired Robotics
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