All animals exhibit behaviors, at different temporal and spatial scales and of different degrees of complexity. They can learn to produce motor actions, make decisions, conduct multiple levels of social interactions and so on. The biological bases for the generation of those behaviors have been studied using direct measurements and causal manipulations. However, because biological systems are complex, dynamic, embodied and self-organized, sometimes it is hard to extract the most crucial factors that explain the true mechanisms for behavior generation. One thing the knowledge of biological principles provides with us is the heuristics for building robots and artificial intelligence.
By the means of biology-inspired robots and algorithms, one can directly test hypotheses raised from biological discoveries, track the developmental processes, explore the parameter space, thereby map the relationship between form and function. In this regard, emergent behavior in bio-inspired systems plays an irreplaceable role in interpreting animal and human behavior. Furthermore, understanding the emergence of animal-like behaviors from the perspectives of biomechanics and neural computation also benefits the development of robotics and artificial intelligence.
This Research Topic is a platform for articles at the intersection of animal/human behavior and robotics. Both topics with a focus on animal behavior using concepts and tools in robotics and on the development of bio-inspired robotics/AI with emergent behavior are welcome to submit. Topics of interest include, but not limited to the following topics:
• Communication
• Coordinated behavior
• Collective behavior
• Morphological computation
• Ontogenetic robotics
• Motor learning
• Embodied cognition
• Language development
All animals exhibit behaviors, at different temporal and spatial scales and of different degrees of complexity. They can learn to produce motor actions, make decisions, conduct multiple levels of social interactions and so on. The biological bases for the generation of those behaviors have been studied using direct measurements and causal manipulations. However, because biological systems are complex, dynamic, embodied and self-organized, sometimes it is hard to extract the most crucial factors that explain the true mechanisms for behavior generation. One thing the knowledge of biological principles provides with us is the heuristics for building robots and artificial intelligence.
By the means of biology-inspired robots and algorithms, one can directly test hypotheses raised from biological discoveries, track the developmental processes, explore the parameter space, thereby map the relationship between form and function. In this regard, emergent behavior in bio-inspired systems plays an irreplaceable role in interpreting animal and human behavior. Furthermore, understanding the emergence of animal-like behaviors from the perspectives of biomechanics and neural computation also benefits the development of robotics and artificial intelligence.
This Research Topic is a platform for articles at the intersection of animal/human behavior and robotics. Both topics with a focus on animal behavior using concepts and tools in robotics and on the development of bio-inspired robotics/AI with emergent behavior are welcome to submit. Topics of interest include, but not limited to the following topics:
• Communication
• Coordinated behavior
• Collective behavior
• Morphological computation
• Ontogenetic robotics
• Motor learning
• Embodied cognition
• Language development
