Biologically inspired posture recognition and posture change detection for humanoid robots

Author(s):  
Michael Spranger ◽  
Sebastian Hofer ◽  
Manfred Hild
Author(s):  
Giorgio Metta

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.


Author(s):  
Veljko Potkonjak ◽  
Miomir Vukobratovic ◽  
Kalman Babkovic ◽  
Branislav Borovac

This chapter relates biomechanics to robotics. The mathematical models are derived to cover the kinematics and dynamics of virtually any motion of a human or a humanoid robot. Benefits for humanoid robots are seen in fully dynamic control and a general simulator for the purpose of system designing and motion planning. Biomechanics in sports and medicine can use these as a tool for mathematical analysis of motion and disorders. Better results in sports and improved diagnostics are foreseen. This work is a step towards the biologically-inspired robot control needed for a diversity of tasks expected in humanoids, and robotic assistive devices helping people to overcome disabilities or augment their physical potentials. This text deals mainly with examples coming from sports in order to justify this aspect of research.


2019 ◽  
Vol 50 (13) ◽  
pp. 2539-2551
Author(s):  
Houssem Eddine Rouabhia ◽  
Brahim Farou ◽  
Zine Eddine Kouahla ◽  
Hamid Seridi ◽  
Herman Akdag

2015 ◽  
Vol 117 (10) ◽  
pp. 1-8
Author(s):  
Sandra Okita

Many technological artifacts (e.g., humanoid robots, computer agents) consist of biologically inspired features of human-like appearance and behaviors that elicit a social response. The strong social components of technology permit people to share information and ideas with these artifacts. As robots cross the boundaries between humans and machines, the features of human interactions can be replicated to reveal new insights into the role of social relationships in learning and creativity. Peer robots can be designed to create ideal circumstances that enable new ways for students to reflect, reason, and learn. This, in turn, has increased expectations that robots and computer agents will enhance human learning and complement people's physical, social, and cognitive capabilities. This paper explores how peer-like robots and robotic systems may help students learn and engage in creative ways of thinking.


2014 ◽  
Vol 57 ◽  
pp. 8-27 ◽  
Author(s):  
Hamed Shahbazi ◽  
Kamal Jamshidi ◽  
Amir Hasan Monadjemi ◽  
Hafez Eslami

2004 ◽  
Vol 8 (1) ◽  
pp. 1-4 ◽  
Author(s):  
Masanori Sugisaka ◽  
Kouta Imamura ◽  
Kouji Tokuda ◽  
Maoki Masuda

2021 ◽  
Vol 185 ◽  
pp. 106139
Author(s):  
Xiaofan Yang ◽  
Chan Zheng ◽  
Chenhao Zou ◽  
Haiming Gan ◽  
Shimei Li ◽  
...  

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