Yuchi(Allan) Zhao
@allanzhao.bsky.social
CS PhD Student @ The Matter Lab UofT and Vector Institute | Robotics Researcher | UWaterloo Mechatronics Graduate
Reposted by Yuchi(Allan) Zhao
Day 2 presenters:
Shi Xuan Leong
Yuchi (Allan) Zhao @allanzhao.bsky.social
Ella Ashoori
Ella Rajaonsen
Ishrath Mohamed Irshadeen
Day 3 presenters:
Alán Aspuru-Guzik @aspuru.bsky.social
Sean Park
Marcel Müller
Yunheng (Jackie) Zou
Luis Mantilla Calderón @realmantilla.bsky.social
[2/2]
Shi Xuan Leong
Yuchi (Allan) Zhao @allanzhao.bsky.social
Ella Ashoori
Ella Rajaonsen
Ishrath Mohamed Irshadeen
Day 3 presenters:
Alán Aspuru-Guzik @aspuru.bsky.social
Sean Park
Marcel Müller
Yunheng (Jackie) Zou
Luis Mantilla Calderón @realmantilla.bsky.social
[2/2]
August 8, 2025 at 6:30 PM
Day 2 presenters:
Shi Xuan Leong
Yuchi (Allan) Zhao @allanzhao.bsky.social
Ella Ashoori
Ella Rajaonsen
Ishrath Mohamed Irshadeen
Day 3 presenters:
Alán Aspuru-Guzik @aspuru.bsky.social
Sean Park
Marcel Müller
Yunheng (Jackie) Zou
Luis Mantilla Calderón @realmantilla.bsky.social
[2/2]
Shi Xuan Leong
Yuchi (Allan) Zhao @allanzhao.bsky.social
Ella Ashoori
Ella Rajaonsen
Ishrath Mohamed Irshadeen
Day 3 presenters:
Alán Aspuru-Guzik @aspuru.bsky.social
Sean Park
Marcel Müller
Yunheng (Jackie) Zou
Luis Mantilla Calderón @realmantilla.bsky.social
[2/2]
Reposted by Yuchi(Allan) Zhao
🤖 We introduce AnyPlace, a two-stage method trained entirely on synthetic data to predict a wide range of feasible placement poses for real-world scenarios. [2/5]
March 3, 2025 at 8:41 PM
🤖 We introduce AnyPlace, a two-stage method trained entirely on synthetic data to predict a wide range of feasible placement poses for real-world scenarios. [2/5]