Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot - Disney Research
Automated Deep Reinforcement Learning Environment for Hardware of a Modular Legged Robot We present an automated learning environment for developing control policies directly on the hardware of a modular legged robot. In this paper, we present an automated learning environment for developing control policies directly on the hardware of a modular legged robot. This environment facilitates the reinf
Dynamic Word Embeddings - Disney Research
We present a probabilistic language model for time-stamped text data which tracks the semantic evolution of individual words over time. August 6, 2017International Conference on Machine Learning (ICML) 2017 We present a probabilistic language model for time-stamped text data which tracks the semantic evolution of individual words over time. The model represents words and contexts by latent traject
VertiGo - A Wall-Climbing Robot including Ground-Wall Transition - Disney Research
VertiGo – A Wall-Climbing Robot including Ground-Wall Transition VertiGo is a wall-climbing robot that is capable of transitioning from the ground to the wall, created in collaboration between Disney Research Zurich and ETH. AuthorsPaul Beardsley Disney ResearchProf Dr Roland Siegwart (ETH Zurich)Michael Arigoni (ETH Zurich)Michael Bischoff (ETH Zurich)Silvan Fuhrer (ETH Zurich)David Krummenacher
Research Areas - Disney Research
Visual ComputingWe strive to improve Disney’s production pipelines and creative processes, expanding the designer’s toolbox in terms of rendering, animation, capture, stylization, interaction, and efficiency. Our technology allows designers to tell their story. We also develop algorithms to better understand our audiences and create new modes of interaction.
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