Foundation Models in Robotics: A Path to the Future.
Dive into the future of robotics with the survey paper, 'Foundation Models in Robotics: Applications, Challenges, and the Future. Explore how pretrained foundation models are revolutionizing robotics by enhancing robot capabilities in perception, decision-making, and control.
The expert team, including Roya Firoozi, Johnathan Tucker, and others, delves into the potential of foundation models to improve various aspects of robot autonomy, from generating code to enabling open-vocabulary visual recognition.
While foundation models offer great promise, it also address the challenges they pose, such as limited robot-relevant training data, safety concerns, and real-time execution.
Explore the GitHub project: https://arxiv.org/abs/2312.07843
A living resource to document this expanding and exciting new field: https://shorturl.at/qvBD9
Categories : Machine Learning . Others
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