61 citations · 93 across the 8 of their papers we have counts for
4 papers · 1 filter
Deriving Rewards for Reinforcement Learning from Symbolic Behaviour Descriptions of Bipedal Walking
Daniel Harnack, Christoph Lüth, Lukas Gross +2
Generating physical movement behaviours from their symbolic description is a long-standing challenge in artificial intelligence (AI) and robotics, requiring insights into numerical…
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
Raghav Soni, Daniel Harnack, Hannah Isermann +3
Legged locomotion is arguably the most suited and versatile mode to deal with natural or unstructured terrains. Intensive research into dynamic walking and running controllers has…
Strong attentional modulation of V1/V2 activity implements a robust, contrast-invariant control mechanism for selective information processing
Lukas-Paul Rausch, Maik Schünemann, Eric Drebitz +3
When selective attention is devoted to one of multiple stimuli within receptive fields of neurons in visual area V4, cells respond as if only the attended stimulus was present. The…
AcroMonk: A Minimalist Underactuated Brachiating Robot
Mahdi Javadi, Daniel Harnack, Paula Stocco +4
Brachiation is a dynamic, coordinated swinging maneuver of body and arms used by monkeys and apes to move between branches. As a unique underactuated mode of locomotion, it is inte…