Over the past decades, research has gained profound insights in biological systems, from cellular to physiology, to biomechanics and locomotion. As biological understanding progresses, so does the robotics and the bio-inspired robotics. The way in which animals interact with the world via object manipulation, movements, spatial navigation can be applied to embodied intelligence in robots, allowing better performances.
This Research Topic aims to cover the methodologies in bio-inspired robotics with a focus on the integration of neural algorithms and computation in robotic bodies, and their resulting interaction with the environment. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome.
This Research Topic includes technologies and up-to-date methods which help advance science.
The contributions to this collection will undergo peer-review. Novelty may vary, but the utility of a method or protocol must be evident.
In this RT we encourage particularly the submission of Methods, Protocols and Technology Report, Reviews on methodologies articles focusing on, but not limited to, the following subtopics:
- Bio-inspired Locomotion control
- Bio-inspired adaptive and learning architectures for the sensorimotor loop
- Neuro-inspired and embodied solutions for the sensor-perception-action process
- Design and development of bio-inspired solution for orientation and navigations
- Bio-inspired brain models and spiking neural networks
- Neuromorphic systems
- Neuromuscular control of legged locomotion
- Sensorimotor spinal cord circuits for locomotion
- Bio-inspired assistive control for wearable robots (e.g., prostheses, exoskeletons, etc.)
- Bio-inspired control principles for generating stable and efficient dynamic gaits
Over the past decades, research has gained profound insights in biological systems, from cellular to physiology, to biomechanics and locomotion. As biological understanding progresses, so does the robotics and the bio-inspired robotics. The way in which animals interact with the world via object manipulation, movements, spatial navigation can be applied to embodied intelligence in robots, allowing better performances.
This Research Topic aims to cover the methodologies in bio-inspired robotics with a focus on the integration of neural algorithms and computation in robotic bodies, and their resulting interaction with the environment. Review articles or opinions on methodologies or applications including the advantages and limitations of each are welcome.
This Research Topic includes technologies and up-to-date methods which help advance science.
The contributions to this collection will undergo peer-review. Novelty may vary, but the utility of a method or protocol must be evident.
In this RT we encourage particularly the submission of Methods, Protocols and Technology Report, Reviews on methodologies articles focusing on, but not limited to, the following subtopics:
- Bio-inspired Locomotion control
- Bio-inspired adaptive and learning architectures for the sensorimotor loop
- Neuro-inspired and embodied solutions for the sensor-perception-action process
- Design and development of bio-inspired solution for orientation and navigations
- Bio-inspired brain models and spiking neural networks
- Neuromorphic systems
- Neuromuscular control of legged locomotion
- Sensorimotor spinal cord circuits for locomotion
- Bio-inspired assistive control for wearable robots (e.g., prostheses, exoskeletons, etc.)
- Bio-inspired control principles for generating stable and efficient dynamic gaits
