Humans are able to learn to recognize new objects even from a few examples. In contrast, training deep-learning-based object detectors requires huge amounts of annotated data. To avoid the need to ...

MIT scientists working with Google DeepMind researchers have developed an AI-driven robot that can ‘turn ideas into physical objects’ based on simple text descriptions. The researchers say their robot ...

Note: This model has been trained for approximately 2.7M steps (batch size = 1) and is still in the training process. I have attached a .ipynb file in the repository. You can refer to it to know how ...

Abstract: Deformable object manipulation remains a key challenge in developing autonomous robotic systems that can be successfully deployed in real-world scenarios. In this work, we explore the the ...