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Abstract: This paper proposes new motion primitives that are time optimal and feasible for a vehicle (wheeled-mobile robot). They are parameterized by a constant acceleration and a constant ...

Conklin figured that if he could somehow determine the apparent excess of radiation caused by the earth’s own motion, he could, in fact, then measure the motion itself. Expanding Universe.

Efficient and reliable motion planning is essential for robots in transportation systems. Learning-based motion planners, especially those leveraging graph neural networks (GNNs), have emerged as ...

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human-motion-prediction/ ├── main.py # Entry point for training and testing ├── short_term_main.py # For short-term prediction ├── nets/ # Graph convolutional networks ├── datas/ # Data loaders and ...