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"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Robotics Research Update, with Keerthana Gopalakrishnan and Ted Xiao of Google DeepMind

Apr 22, 2024
Google DeepMind researchers Keerthana Gopalakrishnan and Ted Xiao discuss breakthroughs in AI robotics, including models for robots to understand new objects, learn from human demos, and operate ethically. They cover six papers showing progress in general-purpose robotics, touching on topics like object manipulation, human-like features in robots, and visual object models for directing motion in tasks.
01:24:15

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Quick takeaways

  • Google DeepMind aims to train a generalist AI model across diverse robot embodiments through merging datasets from various labs.
  • The RTX project focuses on training one model to control a wide range of robot embodiments, leading to better performance than specialist models.

Deep dives

Diverse Robot Morphologies Explored in RT2

RT2 project by Google DeepMind Robotics aimed to train a generalist AI model across diverse robot embodiments. It merged data sets from various labs presenting a range from baby toys to industrial arms. Despite initial limits, the model showcased diverse morphologies under common assumptions. By leveraging prior knowledge and internet-scale data, the model could demonstrate different behaviors based on varied prompts, pushing AI progress in robotics.

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