A Project-Based Biologically-Inspired Robotics Module

Richard M. Crowder; Klaus-Peter Zauner

doi:10.1109/te.2012.2215862

A Project-Based Biologically-Inspired Robotics Module

IEEE Transactions on Education ◽

10.1109/te.2012.2215862 ◽

2013 ◽

Vol 56 (1) ◽

pp. 82-87 ◽

Cited By ~ 3

Author(s):

Richard M. Crowder ◽

Klaus-Peter Zauner

Keyword(s):

Biologically Inspired ◽

Biologically Inspired Robotics

Download Full-text

Distributed, predictive perception of actions: a biologically inspired robotics architecture for imitation and learning

Connection Science ◽

10.1080/09540090310001655129 ◽

2003 ◽

Vol 15 (4) ◽

pp. 231-243 ◽

Cited By ~ 63

Author(s):

Yiannis Demiris* ◽

Matthew Johnson†

Keyword(s):

Biologically Inspired ◽

Biologically Inspired Robotics

Download Full-text

Self-Organization, Embodiment, and Biologically Inspired Robotics

Science ◽

10.1126/science.1145803 ◽

2007 ◽

Vol 318 (5853) ◽

pp. 1088-1093 ◽

Cited By ~ 604

Author(s):

R. Pfeifer ◽

M. Lungarella ◽

F. Iida

Keyword(s):

Self Organization ◽

Biologically Inspired ◽

Biologically Inspired Robotics

Download Full-text

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

Interface Focus ◽

10.1098/rsfs.2016.0016 ◽

2016 ◽

Vol 6 (4) ◽

pp. 20160016 ◽

Cited By ~ 10

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.

Download Full-text