This paper presents a data-driven approach for segmenting range data to enable a humanoid robot to perform interactive domestic tasks. Range data is segmented into geometric primi...
In this paper the control of exible joint manipulators is studied in detail. The model of N{axis exible joint manipulators are derived and reformulated in the form of singular per...
Reinforcement Learning is commonly used for learning tasks in robotics, however, traditional algorithms can take very long training times. Reward shaping has been recently used to ...
Ana C. Tenorio-Gonzalez, Eduardo F. Morales, Luis ...
Abstract. Existing legged robots lack energy-efficiency, performance and adaptivity when confronted with situations that animals cope with on a routine basis. Bridging the gap bet...
Katayon Radkhah, Stefan Kurowski, Thomas Lens, Osk...
—We propose a novel framework, passive set-position modulation (PSPM), which enables us to connect a (continuoustime) robot’s position to a sequence of slowly-updating/sparse (...