Dobb·E
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About
Dobb·E is an innovative open-source framework designed to facilitate robotic manipulation in household settings. It aims to create a general-purpose domestic assistant that learns tasks effectively through minimal user demonstration. With its advanced learning system, Dobb·E can learn a new task in just five minutes of user instruction using an affordable setup known as 'The Stick'. This tool is crafted from low-cost materials including a $25 reacher-grabber stick and an iPhone, allowing users to easily collect data necessary for training. Dobb·E has demonstrated significant efficacy, achieving an 81% success rate in executing diverse tasks within New York City homes. This system integrates hardware, software, and datasets to support ongoing research aimed at making adaptable home robotics a reality, ultimately dreaming of facilitating robotic butlers in every household.
Platform
Task
Features
• open-source software stack
• quick task adaptation
• high success rate for task execution
• versatile learning capabilities
• demo collection tool ('the stick')
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