damm
Ringling Bros. circus performer does balancing act with juggling, comedy, rola bola and a robotic dog
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.
- North America > United States > Maine (0.06)
- North America > United States > Massachusetts > Worcester County > Worcester (0.05)
Directionality-Aware Mixture Model Parallel Sampling for Efficient Linear Parameter Varying Dynamical System Learning
Sun, Sunan, Gao, Haihui, Li, Tianyu, Figueroa, Nadia
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.
- North America > United States > Pennsylvania > Philadelphia County > Philadelphia (0.14)
- North America > United States > Massachusetts > Suffolk County > Boston (0.04)
- Information Technology > Artificial Intelligence > Robots (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Undirected Networks > Markov Models (0.67)
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