Due to its complexity, the standing-up task for robots is highly challenging, and often implemented by scripting the strategy that the robot should execute per hand. In this paper we aim at improving the approach of a scripted stand-up strategy by making it more stable and safe. To achieve this aim, we apply both static and runtime methods by integrating reinforcement learning, static analysis and runtime monitoring techniques.
CITATION STYLE
Leofante, F., Vuotto, S., Ábrahám, E., Tacchella, A., & Jansen, N. (2016). Combining static and runtime methods to achieve safe standing-up for humanoid robots. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9952 LNCS, pp. 496–514). Springer Verlag. https://doi.org/10.1007/978-3-319-47166-2_34
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