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Ringling Bros. circus performer does balancing act with juggling, comedy, rola bola and a robotic dog

FOX News

Ringling Bros. circus star who performs by the name Nick Nack walks Fox News Digital through the process of learning a balancing act called rola bola, which he combines with many other talents, like juggling and comedy. Jan Damm performs as Nick Nack in the Ringling Bros. and Barnum & Bailey circus show. His character has a large comedic presence, but he also has other tricks up his sleeve. Damm performs a balancing act called rola bola and is a master juggler. He is also joined on stage by a unique partner, a robotic dog named Bailey.


Directionality-Aware Mixture Model Parallel Sampling for Efficient Linear Parameter Varying Dynamical System Learning

Sun, Sunan, Gao, Haihui, Li, Tianyu, Figueroa, Nadia

arXiv.org Artificial Intelligence

The Linear Parameter Varying Dynamical System (LPV-DS) is an effective approach that learns stable, time-invariant motion policies using statistical modeling and semi-definite optimization to encode complex motions for reactive robot control. Despite its strengths, the LPV-DS learning approach faces challenges due to the curse of dimensionality, impacting model and computational efficiency. To address this, we introduce the Directionality-Aware Mixture Model (DAMM), a novel statistical model that applies the Riemannian metric on the n-sphere $\mathbb{S}^n$ to efficiently blend non-Euclidean directional data with $\mathbb{R}^m$ Euclidean states. Additionally, we develop a hybrid Markov chain Monte Carlo technique that combines Gibbs Sampling with Split/Merge Proposals, allowing for parallel computation to drastically speed up inference. Our extensive empirical tests demonstrate that LPV-DS integrated with DAMM achieves higher reproduction accuracy, better model efficiency, and near real-time/online learning compared to standard estimation methods on various datasets. Lastly, we demonstrate its suitability for incrementally learning multi-behavior policies in real-world robot experiments.