scholarly journals Designing Biologically Inspired Movements into the Esthetics of Interactive Artifacts

2017 ◽  
Author(s):  
Neda Fayazi ◽  
Lois Frankel
Keyword(s):  
Biologically Inspired

Biologically Inspired Artificial Haircell Sensors

2008 ◽  
Author(s):  
Chang Liu
Keyword(s):  
Biologically Inspired

Biologically-Inspired Flight for Micro Air Vehicles

2012 ◽  
Author(s):  
Kenneth Breuer ◽  
Sharon Swartz ◽  
Jaime Peraire ◽  
Mark Drela ◽  
David Willis ◽  
...  
Keyword(s):  
Micro Air Vehicles ◽  
Biologically Inspired ◽  
Air Vehicles

Humans and humanoids

2018 ◽  
Author(s):  
Giorgio Metta
Keyword(s):  
Humanoid Robot ◽  
Robot Vision ◽  
Physical Space ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Biologically Inspired ◽  
Robot Interaction ◽  
Humanoid Robotics ◽  
Biomimetic Robot ◽  
Compliant Actuation

This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.

Consistent estimation of rotational optical flow in real environments using a biologically-inspired vision algorithm on embedded hardware

2019 ◽  
Vol 92 ◽  
pp. 103814 ◽  
Author(s):  
Phillip S.M. Skelton ◽  
Anthony Finn ◽  
Russell S.A. Brinkworth
Keyword(s):  
Optical Flow ◽  
Consistent Estimation ◽  
Biologically Inspired ◽  
Vision Algorithm
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