Abstract: Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in the ...
Token-Oriented Object Notation is a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input, ...
Abstract: The data analysis could be a very time consuming process during the hardware design on FPGA platforms. The verification process of designed modules is important at each step of a design ...
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