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Would a small public egocentric robotics dataset be useful for testing pipelines?(reddit.com)

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Link preview Would a small public egocentric robotics dataset be useful for testing pipelines? Disclosure: I work with a commercial robotics data collection team. This is not a sales post. I've been comparing different human-demonstration formats for robot manipulation, and I'm curious which configuration researchers find most useful for initial testing. The main options seem to be: • Egocentric video only • Egocentric + two wrist cameras • Task and step labels • Country and collection metadata Egocentric-only data is easier to scale, but hands often block the object. Wrist views improve grasp visibility, although synchronization and motion blur create extra problems. We're considering releasing a small free public evaluation sample from the US, UK and Australia. It would require no signup, email or contact details. Which format would be most useful for testing an existing manipulation or imitation-learning pipeline? Also, what minimum information should be included: camera calibration, FPS, task labels, timestamps, licensing documentation or failure examples? I can share the public sample in a follow-up only if the moderators confirm that it is appropriate. submitted by /u/WideAmbition1964 [link] [Kommentare] reddit.com · reddit.com
Disclosure: I work with a commercial robotics data collection team. This is not a sales post. I've been comparing different human-demonstration formats for robot manipulation, and I'm curious which configuration researchers find most useful for initial testing. The main options seem to be: • Egocentric video only • Egocentric + two wrist cameras • Task and step labels • Country and collection metadata Egocentric-only data is easier to scale, but hands often block the object. Wrist views improve grasp visibility, although synchronization and motion blur create extra problems. We're considering releasing a small free public evaluation sample from the US, UK and Australia. It would require no signup, email or contact details. Which format would be most useful for testing an existing manipulation or imitation-learning pipeline? Also, what minimum information should be included: camera calibration, FPS, task labels, timestamps, licensing documentation or failure examples? I can share the public sample in a follow-up only if the moderators confirm that it is appropriate. submitted by /u/WideAmbition1964 [link] [Kommentare]

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