COBALT platform uses smartphones for crowdsourced robot learning data

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 →

• Ayush Agarwal
• COBALT
• imitation learning
• robot learning
• smartphones
• teleoperation

• paper
• product
• infra

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