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Knowledge enhanced bottom-up affordance grounding for robotic interaction.

PeerJ Comput Sci

July 2024

Computer Science and Technology, Dalian Martime University, Dalian, Liaoning, China.

With the rapid advancement of robotics technology, an increasing number of researchers are exploring the use of natural language as a communication channel between humans and robots. In scenarios where language conditioned manipulation grounding, prevailing methods rely heavily on supervised multimodal deep learning. In this paradigm, robots assimilate knowledge from both language instructions and visual input.

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