Hi everyone I’m exploring the idea around a benchmark around embodied Ai for households Currently the existing benchmarks focus on short tasks inside the home But they don’t take into account that a home is a place where things get worse with time Time only generates the decay Can an embodied Ai be trained to manage this slow decay of a home? The idea would be to create a benchmark where each episode is the live of a home over time The agent does not see the full real state of the house He only see partial signs like dust, small broken things and decides to act upon them without taking into account the long term needed actions If the agents continues like this there will appear at some moment a mayor renovation need which will trigger the failure of the system Something like this Do you think it could be useful for researchers working on embodied Ai? submitted by /u/Head_Concentrate_941 [link] [Kommentare]
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