The ability to leverage heterogeneous robotic experience from different
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Animals have evolved various agile locomotion strategies, such as sprint...
We investigate whether Deep Reinforcement Learning (Deep RL) is able to
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We present a system for applying sim2real approaches to "in the wild" sc...
We study the problem of robotic stacking with objects of complex geometr...
In this chapter we describe the history and evolution of the iCub humano...
In modern robotic applications, tactile sensor arrays (i.e., artificial
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Robot manipulation requires a complex set of skills that need to be care...
Learning dexterous manipulation in high-dimensional state-action spaces ...
Learning robotic control policies in the real world gives rise to challe...
Collecting and automatically obtaining reward signals from real robotic
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We present a method for fast training of vision based control policies o...
It is well known that sensors using strain gauges have a potential depen...
Articulated objects like doors, drawers, valves, and tools are pervasive...
A common approach to the generation of walking patterns for humanoid rob...
This paper presents a novel approach for incremental semiparametric inve...