93 citations · 130 across the 19 of their papers we have counts for
6 papers · 1 filter
NICOL: A Neuro-inspired Collaborative Semi-humanoid Robot that Bridges Social Interaction and Reliable Manipulation
Matthias Kerzel, Philipp Allgeuer, Erik Strahl +4
Robotic platforms that can efficiently collaborate with humans in physical tasks constitute a major goal in robotics. However, many existing robotic platforms are either designed f…
Exercise with Social Robots: Companion or Coach?
Sascha Griffiths, Tayfun Alpay, Alexander Sutherland +4
In this paper, we investigate the roles that social robots can take in physical exercise with human partners. In related work, robots or virtual intelligent agents take the role of…
Robotic self-representation improves manipulation skills and transfer learning
Phuong D. H. Nguyen, Manfred Eppe, Stefan Wermter
Cognitive science suggests that the self-representation is critical for learning and problem-solving. However, there is a lack of computational methods that relate this claim to co…
Reinforcement Learning with Time-dependent Goals for Robotic Musicians
Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen +2
Reinforcement learning is a promising method to accomplish robotic control tasks. The task of playing musical instruments is, however, largely unexplored because it involves the ch…
Sensorimotor representation learning for an "active self" in robots: A model survey
Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan +3
Safe human-robot interactions require robots to be able to learn how to behave appropriately in \sout{humans' world} \rev{spaces populated by people} and thus to cope with the chal…
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
Manfred Eppe, Matthias Kerzel, Erik Strahl +1
We present a novel approach for interactive auditory object analysis with a humanoid robot. The robot elicits sensory information by physically shaking visually indistinguishable p…