💡Can a humanoid robot learn to stand up across diverse real-world scenarios from scratch? 🤖 Introducing HoST: Learning Humanoid Standing-up Control across Diverse Postures Website:

@IlirAliu_ A very nice summary! Thank you.😉

@LuccaChiang Thanks gq!

@ChongZitaZhang Thanks for sharing our job!😉 Please find more information in this post:

@pangjiangmiao Thanks, my mentor! Can never do this without your support!😃

@XiaoChen_Twi Thanks Xiao!

(5/n) Great thanks to my wonderful collaborators: Junli Ren, Huayi Wang, Zirui Wang, @BenQingwei, Muning Wen, @XiaoChen_Twi, Jianan Li, and @pangjiangmiao! Check more details on our website:

Congrats to Guangqi for his 1st 1st-author paper! This work is well-motivated and inspiring for learning from large-scale robot dataset. Please check it out🤩

RT @LuccaChiang: Thrilled to share that MCR (Manipulation-centric representation) has been accepted by @iclr_conf #ICLR2025 🎉 Huge thanks t…

RT @cheryyun_l: During our research on generalist foundation models, we believe more AI agents will master tasks across virtual and physica…

RT @zacharylong0212: Excited to introduce the Perceptive Internal Model (PIM) for Humanoid Robots! A perceptive follow up of the HIMLoco wo…

RT @pangjiangmiao: Excited to introduce the Perceptive Internal Model (PIM) for Humanoid Robots! The first policy simultaneously for: - Go…

RT @physical_int: excited to share what we've been up to soon!

@zacharylong0212 龙神带带🥹

@LuccaChiang So wonderful last year! Look forward to the reunion, too😝