RoboPapers
00:50:20 · Michael Cho, Hongyi Jing, Chris Paxton, Zhenyu Zhao
[00:50:20] S0: Yeah. Yeah. Maybe about about Xiawei Hongyi. Any any cool people or answer you? [00:50:26] S3: Yeah. So so, yeah, like like we had mentioned, I think for the data teleoperation pipeline, I think this two is very impressive. And I think it's it's, you know, control of the whole... Like, mimicking the human body movement. I think it's really cool, and we wanna do... Maybe do some improvements on it in the future, like introducing some dexterous manipulation, wearing some, you know, manuscript, gloves, or something like that to do the... Some dexterous manipulation based on this whole body data collection pipeline. And, also, I think I think another interesting paper for me is the, like, the heater, you know, the u... The unit three g one playing ping pong. And I think that's also another impressive work for me and, like, you know, that the humanoids doing sports. And I think we also want to do some fancy things like... Fancy sports like that using GY in the future. Yeah. [00:51:19] S6: That was actually the last episode we published. [00:51:21] S0: Yeah. We just published. He was here, yeah, last month. Was a great episode. [00:51:25] S6: That was a Yeah. [00:51:26] S0: That was super cool. I guess, Xiawei and and Zhenyu? [00:51:29] S2: Like, the twist tube the twist tube paper thing. Yeah. One of the collaborators is also in our lab, Hong. The... Yeah. I think it'd be cool if you [00:51:38] S0: Cool. Cool. Cool. And then Xiawei [00:51:40] S6: everything okay where you are? It's been, like, nonstop sirens. [00:51:45] S2: Oh, sorry. Sorry about that.
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.