RoboPapers
00:51:45 · Zhenyu Zhao, Xiawei Liu, Chris Paxton, Michael Cho
[00:51:45] S2: Oh, sorry. Sorry about that. [00:51:47] S4: No. No worries. Yeah. [00:51:48] S6: It's good. It's [00:51:50] S4: Yeah. So for me, I also read the, hitter, the the ping pong one paper. I thought that was really interesting to me because, but I, as I remember, I think they used, like, a third view camera for calculating the, the the... Where where the ping pong ball would land. Yeah. I thought that was, a very smart approach, and I thought that... And me and Hongyi and Zhenyu also discussed that maybe in the future, we might do... We we are planning on doing something that's, you know, more egocentric based so that we don't need a third view camera, and we would like to do some interactive, tasks or, a multi robot task with, egocentric, camera. So that would definitely leverage the difficulty, but it would be really impressive if we are able to do that. Yeah. [00:52:50] S0: Well, hopefully, the g two, if it if it comes out, we will have a actuated neck. It will make things a lot easier to do ecocentric. It's a lot harder if you... If your neck can't move. But anyway, mean wider field [00:53:01] S6: of your camera is honestly like anything you could do. [00:53:04] S0: Yeah. Like, put a, yeah, put a three sixty. [00:53:06] S6: That's stuff you could do better. Really. Yeah.
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.