Volume 32, number 1-2 (2024) Collection home page

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 4 of 4
Hagens, David , Knaup, Jan M. , Hergenröther, Elke , Weinmann, Andreas
CNN-based Game State Detection for a Foosball Table

The automation of games using Deep Reinforcement Learning Strategies (DRL) is a well-known challenge in AI research. While for feature extraction in a video game typically the whole image is used, this is hardly practical for many real world games. Instead, using a smaller gam...

Čavarga, Martin
Automated Surface Extraction: Adaptive Remeshing Meets Lagrangian Shrink-Wrapping

Fairing methods, frequently used for smoothing noisy features of surfaces, evolve a surface towards a simpler shape. The process of shaping a simple surface into a more complex object requires using a scalar field defined in the ambient space to drive the surface towards a...

Cardenas, Kevin , Semwal, Sudhanshu , Maher, James
End-to-End Move Prediction System for Indoor Rock Climbing: Beta Caller

We developed Beta Caller, an end-to-end system supporting the sport of rock climbing for climbers with visual impairment. Beta Caller provides real-time, audible instructions containing a prediction for the climber’s next move while they are actively climbing a rock wall. This system le...

Bordeaux, Boris , Gentil, Christian
Automatic construction of fractal structures with locally controlled lacunarity

Lacunar fractal structures reduce the material quantity and weight while improving some physics properties, such as heat transfers, and preserving good mechanical properties. Nowadays, it is possible to construct such shapes thanks to additive manufacturing. This paper focuses on automatically ge...

Collection's Items (Sorted by Submit Date in Descending order): 1 to 4 of 4