第一是泛化：料箱颜色、尺寸、新旧程度都不同，能不能用同一个模型稳定完成识别、抓取与搬运。第二是导航：搬起之后从A点到B点怎么走，路径规划、避障，途中被打断后能不能续做。第三是策略理解：比如“从面前100个箱子里搬走50个”，机器人能不能理解数量、以及该选择哪50个箱子，到目的地怎么码放，以及放下后要不要把物体取出等等，每个环节都存在问题。
I dug in and got GitHub access to FNA’s Native AOT ports for Xbox and PS5 as well as some private channels in the FNA Discord. Knowing that there were other examples in the world of C# being run on consoles using Native AOT gave me some level of hope that just maybe this might be possible. However, there were still many unknowns and overall this was a huge risk. I presented my findings and asked for two weeks for the backend team to come up with a proof of concept. A valid proof of concept meant demonstrating that we could take some of our existing C# code and call it from the Unreal game client on all three platforms we needed to support.
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The inquest was adjourned until a further pre-inquest review hearing on 29 April.
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