Real-World Walking Data
收藏arXiv2025-09-30 收录
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https://antonilo.github.io/vision_locomotion/
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资源简介：
该数据集旨在通过现实世界的经验来训练视觉行走策略，重点是提高适应各种地形的能力。该数据集包含了在多种地形上的行走试验，如楼梯、滑梯和路缘石等，突显了视觉模块在提升运动性能方面的有效性。该数据集规模较小，收集的真实世界数据不足30分钟，其任务是进行视觉行走策略的训练。
This dataset is designed to train visual walking policies using real-world experience, with a primary focus on improving adaptability to various terrains. It includes walking trials conducted on diverse terrain types such as stairs, slides, curbstones and other similar obstacles, which highlights the effectiveness of visual modules in enhancing locomotor performance. This is a small-scale dataset, with the collected real-world data totaling less than 30 minutes, and its core task is the training of visual walking policies.
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