Google Maps taking you the long way? Learn why the app defaults to slower routes and discover the hidden settings that will ...
Abstract: Finding the time-optimal parameterization of a given path subject to kinodynamic constraints is an essential component in many robotic theories and applications. The objective of this paper ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
The path planning algorithms search for the collision-free path between the start and end points while satisfying the evaluation metrics 1. These algorithms are classified as the classical approaches, ...
Making a class schedule is one of those NP hard problems. The problem can be solved using a heuristic search algorithm to find the optimal solution, but it only works for simple cases. For more ...
In today’s society, innovative technologies emerge endlessly, which greatly promote social progress and industrial transformation 1. Robot technology covers many fields such as mechanical engineering, ...
Abstract: Path planning algorithms are current research hotspots. Heuristic algorithms that can solve dynamic environment problems are gradually becoming the mainstream research direction. The D* ...
Hello everyone! Today, I'd like to discuss customer/audience segmentation analysis, which is essential for businesses of all sizes and industries. We'll be using a dataset example and applying machine ...
1 Transportation Engineering College, Dalian Maritime University, Dalian, China. 2 School of Maritime Economics and Management, Dalian Maritime University, Dalian, China. With the development of the ...
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