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In the reinforcement learning literature, transfer is the capability to reuse on a new problem what has been learnt from previous experiences on similar problems. Adapting transfer properties for robotics is a useful challenge because it can reduce the time spent in the first exploration phase on a new problem. In this paper we present a transfer framework adapted to the case of a climbing virtual...
This paper deals with the usage of virtual reality and scenario languages in the field of teleoperation: how to enable a group of teleoperators to control, in a collaborative way, groups of real robots, in turn collaborating with each other to achieve complex tasks; such tasks include inspecting a dangerous area or exploring a partially unknown environment. The main goal is to obtain efficient, natural...
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