RoboPapers
00:53:06 · Chris Paxton, Michael Cho, Yue Wang
[00:53:06] S6: That's stuff you could do better. Really. Yeah. [00:53:09] S0: But... Yeah. Anyway, yeah, thank you... Well, thank you so much for coming on, guys. And, also, I I just wanna give, you know, you guys credit for putting so much work. I know it's incredibly, incredibly, incredibly hard to even get this, like, amount of data out there. I was, like, a bit shocked, to be honest. I was like, oh my gosh. How many how many robots are you bringing in the process to get it? But thanks thanks for putting out there. I think the community will benefit lot. And, clearly, you guys did the did ablation study. It will move the needle. So, yeah, thank thank you so much for the work. Yeah. Yeah. Looking look looking forward to more more papers from you guys. [00:53:44] S1: Thank you so much for giving us the opportunity to share the [00:53:47] S0: For sure. Okay. Cool. See you guys soon. Ciao.