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COBALT platform uses smartphones for crowdsourced robot learning data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed COBALT, a cloud-based teleoperation platform that uses smartphones to collect large-scale robot learning data. This system allows multiple users to contribute to robot training simultaneously, significantly reducing costs and enabling data collection from almost anywhere. A user study confirmed that smartphone-based operation is as effective as specialized hardware, leading to the collection of over 7500 demonstrations across nine countries in just five days. AI

IMPACT Enables scalable and cost-effective data collection for robot learning, potentially accelerating advancements in the field.

RANK_REASON Publication of an academic paper detailing a new platform for robot learning. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COBALT platform uses smartphones for crowdsourced robot learning data

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Publication of an academic paper detailing a new platform for robot learning. [lever_c_demoted from research: ic=1 ai=1.0]
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96 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ayush Agarwal, Ansh Gandhi, Jeremy A. Collins, Omar Rayyan, Aryan Sarswat, Ranjani Koushik, Masoud Moghani, Ajay Mandlekar, Animesh Garg ·

    COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation with Smartphones

    arXiv:2605.19138v2 Announce Type: replace-cross Abstract: The scarcity of large-scale, high-quality demonstration data remains a bottleneck in scaling imitation learning for robotic manipulation. We present COBALT, a teleoperation platform designed to democratize robot learning a…

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