This paper presents a CL framework for data-driven learning of the dynamics model of a 6-degree-of-freedom serial industrial robot.
May 3, 2022 · This paper presents a CL framework for data-driven learning of the dynamics model of a 6-degree-of-freedom serial industrial robot. This model ...
In real-world scenarios, serial data with distribution drift, class imbalance, and mislabeling can affect the training of industrial systems, ...
Development of a Framework for Continual Learning in Industrial Robotics · Internet of Production [080067] · Laboratory for Machine Tools and Production ...
Development of a Framework for Continual Learning in Industrial Robotics. Trinh, Minh (Corresponding author); Moon, Jiyoung (Corresponding author); Gründel ...
Continual learning (CL) is a particular machine learning paradigm where the data distribution and learning objective change through time.
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We propose a framework to link continual learning to robotics. This framework also sets the opportunities for continual learning to have a framed ...
Sep 10, 2024 · Continual learning (CL) is a particular machine learning paradigm where the data distribution and learning objective changes through time, ...
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Abstract: One of the limitations of robotics is that it is difficult for robots to adapt to fickle tasks.A robot will inevitably forget the knowledge from old ...
Amazon Robotics researchers created a new learning system called Janus, which provides a robust framework for retraining Robin robotic arms and represents a ...