Teresa Escrig

News and oppinion about Cognitive AI & Robotics

Biologically accurate robotic legs get the gait right

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Very impressive video of the biologically accurate robotic legs in action.

By , July 10, 2012

The machine comprises simplified versions of the human neural, musculoskeletal and sensory feedback systems.

The robotic legs are unique in that they are controlled by a crude equivalent of the central pattern generator (CPG) – a neural network located in the spinal cord at the abdominal level and responsible for generating rhythmic muscle signals. These signals are modulated by the CPG as it gathers information from different body parts responding to external stimuli. As a result, we are able to walk without ever giving the activity much thought.

The most basic form of a CPG is called a half center and is made up of two neurons rhythmically alternating in producing a signal. An artificial version of a half center produces signals and gathers feedback from sensors in the robotic limbs, such as load sensors that notice when the angle of the walking surface has shifted.

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