Plenty of robot researchers are inspired by nature to improve their designs. This videos shows a bioinspired adaptive neuroendocrine control system for autonomous walking robots that enables them to take proactive steps to avoid colliding with obstacles.
As the researchers explain:
In contrast to conventional locomotion control methods, this approach does not require robot and environmental models, exteroceptive feedback, or multiple learning trials. It integrates three main modular neural mechanisms, relying only on proprioceptive feedback and short-term memory.
This approach was tested on a hexapod robot walking on complex terrains, such as gravel.
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