Cognitive Systems and Robotics In healthy humans, walking emerges naturally from a hierarchical organization and combination of motor control mechanisms. Artificial bipeds have not reached performance comparable to human behaviour. Major drawbacks of these bipeds and control concepts are related to their stability and energy consumption. The goal of H2R project is to demonstrate human-like gait and posture in a controlled compliant biped robot as a result of a hierarchical organization and combination of the most relevant motor control mechanisms found in humans. The behaviour-based control architecture will be combined with novel learning schemes and prediction strategies in which biomechanical, neuromotor and cognitive key features of human walking are transferred to the machine.
Field of science
- /natural sciences/biological sciences/biological morphology/functional morphology
Call for proposal
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Funding SchemeCP - Collaborative project (generic)