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arXiv · 2208.11845

Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation

Elena Galbally·Adrian Piedra·Cynthia Brosque·Oussama Khatib
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Abstract

Even the most robust autonomous behaviors can fail. The goal of this research is to both recover and collect data from failures, during autonomous task execution, so they can be prevented in the future. We propose haptic intervention for real-time failure recovery and data collection. Elly is a system that allows for seamless transitions between autonomous robot behaviors and human intervention while collecting sensory information from the human's recovery strategy. The system and our design choices were experimentally validated on a single arm task -- installing a lightbulb in a socket -- and a bimanual task -- screwing a cap on a bottle -- using two 7-DOF manipulators equipped 4-finger grippers. In these examples, Elly achieved over 80% task completion during a total of 40 runs.

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Elena Galbally, Adrian Piedra, Cynthia Brosque, Oussama Khatib. 2022-08-25. Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation. https://arxiv.org/abs/2208.11845

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