Reset-free Trial-and-Error Learning for Robot Damage Recovery

13 Oct 2016Konstantinos ChatzilygeroudisVassilis VassiliadesJean-Baptiste Mouret

The high probability of hardware failures prevents many advanced robots (e.g., legged robots) from being confidently deployed in real-world situations (e.g., post-disaster rescue). Instead of attempting to diagnose the failures, robots could adapt by trial-and-error in order to be able to complete their tasks... (read more)

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