Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...

Abstract: Enabling robotic systems to perform long-horizon manipulation planning in real-world environments based on multimodal embodied perception and comprehension remains a longstanding challenge.

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.